Source: https://patents.google.com/patent/US20040208388A1/en
Timestamp: 2018-05-26 04:56:00
Document Index: 227688421

Matched Legal Cases: ['art 100', 'art 100', 'art 100', 'art 100', 'art 100', 'art 100', 'art 100', 'art 100', 'art 300', 'art 100', 'art 300', 'art 300', 'art 300', 'art 300', 'art 300', 'art 300', 'art 300', 'art 100']

US20040208388A1 - Processing a facial region of an image differently than the remaining portion of the image - Google Patents
Processing a facial region of an image differently than the remaining portion of the image Download PDF
US20040208388A1
US20040208388A1 US10420677 US42067703A US2004208388A1 US 20040208388 A1 US20040208388 A1 US 20040208388A1 US 10420677 US10420677 US 10420677 US 42067703 A US42067703 A US 42067703A US 2004208388 A1 US2004208388 A1 US 2004208388A1
US10420677
A method for processing a human facial region of an image differently than the remaining portion of the image. The method includes determining whether a human facial region exists within an image. If the human facial region exists within the image, the method also includes determining the location of the human facial region within the image. Additionally, the method includes processing the human facial region differently in terms of spatial image enhancement than the remaining portion of the image.
Computers may be utilized to process and subsequently print out digital images. Generally, a computer may receive one or more digital images, for example, from another computer, a digital camera or an image scanner. Once the digital image is received, a computer user may desire to have it printed out on some type of paper. As such, the user causes an application operating on the computer to transfer the data associated with the desired image to a print driver that also operates on the computer. The print driver software may then process the digital image data with an image sharpening algorithm to enhance its visual quality and also convert it into an acceptable format for the printer associated with the printer driver. Subsequently, the printer driver transfers the sharpened and formatted image data to the printer which eventually prints the image onto one or more pieces of paper for the user. However, there are some disadvantages associated with this print driver technique.
For example, the print driver technique described above typically produces better looking images, but sometimes it can have a deleterious effect on human facial regions of an image. Specifically, when the image data is sharpened, it can create artifacts in the human facial regions of the image. For example, when natural ridges, wrinkles, and clefts of facial regions are sharpened, it can result in artificially “aging” the face of the person(s) within the digital image. These artifacts may be particularly noxious since facial regions are generally the focus of images that contain them, and individuals are very sensitive to poor reproduction of faces.
[0005]FIG. 1 is a flowchart of steps performed in accordance with an embodiment of the present invention for processing a human facial region of an image differently than the remaining portion of the image.
[0006]FIG. 2A is a diagram illustrating an exemplary image that may be received for processing in accordance with an embodiment of the present invention.
[0007]FIG. 2B is a diagram illustrating the adverse effects of applying a typical image sharpening algorithm to the image of FIG. 2A.
[0008]FIG. 2C is a diagram illustrating the positive effects of processing the image of FIG. 2A in accordance with an embodiment of the present invention.
[0009]FIG. 3 is a flowchart of steps performed in accordance with another embodiment of the present invention for processing a human facial region of an image differently than the remaining portion of the image.
[0010]FIG. 4 is a diagram of an exemplary facial image enhancement dialog box that may be utilized in accordance with embodiments of the present invention.
[0011]FIG. 5 is a block diagram of an exemplary network that may be utilized in accordance with embodiments of the present invention.
[0012]FIG. 6 is a block diagram of an exemplary computer system that may be used in accordance with embodiments of the present invention.
It should be borne in mind, however, that all of these terms are to be interpreted as referencing physical manipulations and quantities and are merely convenient labels and are to be interpreted further in view of terms commonly used in the art. Unless specifically stated otherwise as apparent from the following discussions, it is understood that throughout discussions of the present invention, discussions utilizing terms such as “determining” or “processing” or “performing” or “deciding” or “ascertaining” or “transmitting” or “receiving” or “providing” or “recognizing” or “generating” or “utilizing” or “storing” or the like, refer to the action and processes of a computing system, or similar electronic computing device, that manipulates and transforms data. The data is represented as physical (electronic) quantities within the computing system's registers and memories and is transformed into other data similarly represented as physical quantities within the computing system's memories or registers or other such information storage, transmission, or display devices.
[0016]FIG. 1 is a flowchart 100 of steps performed in accordance with an embodiment of the present invention for processing a human facial region(s) of an image differently than the remaining region of the image. Flowchart 100 includes processes which, in some embodiments, are carried out by a processor(s) and electrical components under the control of computer readable and computer executable instructions. The computer readable and computer executable instructions may reside, for example, in data storage features such as computer usable volatile memory, computer usable non-volatile memory and/or computer usable mass data storage. However, the computer readable and computer executable instructions may reside in any type of computer readable medium. Although specific steps are disclosed in flowchart 100, such steps are exemplary. That is, the present embodiment is well suited to performing various other steps or variations of the steps recited in FIG. 1. Within the present embodiment, it should be appreciated that the steps of flowchart 100 may be performed by software, by hardware or by any combination of software and hardware.
The present embodiment provides a method for processing a human facial region of an image differently in terms of spatial image enhancement than the remaining region of the image. For example, when an image is received, a determination is made as to whether any human face exists within the image. If not, the entire image may be processed with one or more spatial image enhancement techniques in order to improve its visual quality. However, if there is one or more human faces present within the image, the image is processed in a different manner. Specifically, the region(s) that defines a human face(s) within the image is processed differently in terms of spatial image enhancement than the portion of the image that resides outside of the facial region(s). In this fashion, any human face within the image may be specifically handled in a manner that provides a more pleasing or attractive reproduction of the human facial region.
At step 102 of FIG. 1, an image (e.g., a digital image) is received in order to be processed by flowchart 100. It is noted that there are a wide variety of reasons for receiving an image at step 102 to be processed. For example, the image may be received at step 102 in order to subsequently view it on a display device or for it to be printed out by a printer, just to name a few. Furthermore, the image may be received at step 102 in diverse ways in accordance with the present embodiment. For example, the image may be received from an image scanner and/or a digital camera coupled to a computing device. Additionally, the image may be received at step 102 by software and/or hardware associated with a printer (e.g., printer driver), digital camera, scanner, computer or any other image processing system. The flowchart 100 is capable of operating with any image processing system.
In step 104, the present embodiment determines whether a human face(s) is present within the received image. If it is determined that there are not any human faces present within the image, the present embodiment proceeds to step 106. However, if it is determined that there is one or more human faces present within the image, the present embodiment proceeds to step 108. It is understood that step 104 may be implemented in diverse ways. For example, a Neural Network-Base Face Detection algorithm, the Jones Viola Algorithm, and/or any other face detection technique may be utilized in order to perform the functionality of step 104. It is noted that if a human face(s) is located within the image, its location (or position) within the image may then be determined. The location of the human face(s) may be contained within a bounding box, a binary mask, or some type of defined facial region.
At step 106 at FIG. 1, the entire image is processed with one or more spatial image enhancement techniques in order to improve the visual quality of the image. It is noted that there are diverse spatial image enhancement techniques that may be implemented at step 106. For example, the spatial image enhancement technique may include, but is not limited to, an image sharpening algorithm, an image smoothing algorithm, a variable image sharpening and smoothing algorithm, and/or the like.
In step 108, the image is processed, minus the human facial region(s), with one or more spatial image enhancement techniques in order to improve its visual quality. It is appreciated that the location of the human face(s) within the image is utilized in order to define the remaining portion of the image to process at step 108. There are a wide variety of spatial image enhancement techniques that may be implemented at step 108. For example, the spatial image enhancement technique may include, but is not limited to, an image sharpening algorithm, an image smoothing algorithm, a variable image sharpening and smoothing algorithm, and/or the like. It is noted that any region that defines a human face (or some portion of a facial region) within the image is not processed with any type of spatial image enhancement technique at step 108.
At step 110 of FIG. 1, the locations defining the human face(s), or some portion of the human face(s), is utilized to process the human facial region(s) of the image differently in terms of spatial image enhancement than the way the region outside of the facial region(s) were processed at step 108. For example, the processing of the human facial region(s) may include, but is not limited to, restricting the amount of sharpening done, not utilizing any spatial image enhancement technique, utilizing a smoothing technique, utilizing any facial enhancement technique, smoothly varying the amount of processing in order to limit the visible discontinuity at the edge of the bounding box(es) containing the human face(s), reducing the amount of smoothing and sharpening done, or any other spatial enhancement technique that is different from the spatial image enhancement technique(s) utilized for processing at step 108 the portion of the image outside of the facial region(s). It is noted that at least some portion, but perhaps not all, of the human facial region(s) of the image may be subjected to the functionality of step 110.
In step 112, the data associated with the resulting output image may be stored utilizing any type of memory device. It is appreciated that the memory device utilized at step 112 may include, but is not limited to, random access memory (RAM), static RAM, dynamic RAM, read only memory (ROM), programmable ROM, flash memory, erasable programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), disk drive (e.g., hard disk drive), diskette, and/or magnetic or optical disk (e.g., CD, DVD, and the like). It is noted that once the output image is stored, it may be utilized for other functions such as being printed out by a printer (e.g., 508 of FIG. 5), displayed on a display screen (e.g., 512 of FIGS. 5 and 6), and the like. Once step 112 is completed, the present embodiment exits flowchart 100.
[0024]FIG. 2A is a diagram illustrating an exemplary image 200 (e.g., photograph, picture, etc.) that may be received for processing in accordance with an embodiment of the present invention. For example, image 200 may be received by a computer via an image scanner. As such, image 200 may then be processed by an embodiment (e.g., flowchart 100 or flowchart 300) of the present invention for it to be, for example, printed out by a printer or displayed on a display screen. It is noted that image 200 includes a tree 206 along with a person 208 having a facial region 204. Additionally, the facial region 204 of the person 208 includes light forehead wrinkles 202 which are represented as dashed lines.
[0025]FIG. 2B is a diagram illustrating the adverse effects of applying a typical image sharpening algorithm to the image 200 of FIG. 2A. Specifically, image 210 of FIG. 2B represents a reproduction of image 200 after being processed with a typical image sharpening algorithm. As shown, when the data associated with image 200 is sharpened, it can have deleterious affects on the resulting human facial region 214. For example, facial region 214 includes more defined forehead wrinkles 212 which are represented as solid lines. Therefore, these defined forehead wrinkles 212 can artificially “age” the face depicted in facial region 214 of person 218 within image 210. These type of artifacts are particularly undesirable since facial regions (e.g. 214) are generally the focus of images that contain them, and individuals are very sensitive to poor reproduction of faces.
However, FIG. 2C is a diagram illustrating the positive effects of processing the image 200 of FIG. 2A in accordance with an embodiment of the present invention. Specifically, image 220 of FIG. 2C represents a reproduction of image 200 after being processed by an embodiment in accordance with the present invention (e.g., flowchart 100 or flowchart 300). As shown, when the data associated with the human facial region 204 is processed differently in terms of spatial image enhancement than the remaining data associated with image 200, a more pleasing or attractive reproduction of the human facial region 224 results within image 220. For example, the facial region 224 of person 228 includes light forehead wrinkles 222 (represented as dashed lines) instead of the more defined forehead wrinkles 212 shown within FIG. 2B and described herein. As such, the processing of an image in accordance with an embodiment of the present invention produces more pleasing and/or attractive reproductions of facial regions within images along with improving the visual quality of the non-facial regions of the images.
[0027]FIG. 3 is a flowchart 300 of steps performed in accordance with another embodiment of the present invention for processing a human facial region(s) of an image differently than the remaining portion of the image. Flowchart 300 includes processes which, in some embodiments, are carried out by a processor(s) and electrical components under the control of computer readable and computer executable instructions. The computer readable and computer executable instructions may reside, for example, in data storage features such as computer usable volatile memory, computer usable non-volatile memory and/or computer usable mass data storage. However, the computer readable and computer executable instructions may reside in any type of computer readable medium. Although specific steps are disclosed in flowchart 300, such steps are exemplary. That is, the present embodiment is well suited to performing various other steps or variations of the steps recited in FIG. 3. Within the present embodiment, it should be appreciated that the steps of flowchart 300 may be performed by software, by hardware or by any combination of software and hardware.
The present embodiment provides a method for processing one or more human facial regions of an image differently in terms of spatial image enhancement than the portion of the image located outside of the facial regions. For example, a determination is made as to whether any human facial regions exist within the image. If there are one or more human facial regions present within the image, the location of each human facial regions is determined. As such, the regions that define human faces within the image are processed differently in terms of spatial image enhancement than the portion of the image that resides outside of the facial regions. Therefore, any human face within the image may be specifically handled in a manner that provides a more attractive, pleasing and/or accurate reproduction of the human facial region.
It is noted that the functionality of flowchart 300 may be implemented with, but is not limited to, software and/or hardware associated with a printer (e.g., printer driver), digital camera, scanner, computer or any other image processing system.
At step 302, the present embodiment determines whether there is a human facial region(s) within an image. If it is determined that there is not a human facial region(s) within the image, the present embodiment proceeds to the beginning of step 302. However, if it is determined that there is a human facial region(s) within the image, the present embodiment proceeds to step 304. It is appreciated that step 302 may be implemented in a wide variety of ways. For example, the Jones Viola Algorithm, a Neural Network-Base Face Detection algorithm, and/or any other face detection technique may be utilized in order to perform the functionality at step 302.
In step 304 of FIG. 3, the present embodiment determines the location(s), or position(s), of the human facial region(s) within the image. The location(s) of the human facial region(s) may be contained within a bounding box(es), a binary mask(s), or some type of defined facial region(s) at step 304. It is noted that at least some portion, but perhaps not all, of the human facial region(s) within the image may be defined at step 304. It is understood that step 304 may be implemented in diverse ways. For example, the Jones Viola Algorithm and/or a Neural Network-Base Face Detection algorithm may be utilized to implement the functionality at step 304.
At step 306, the location(s) of the human facial region(s) are utilized in order to automatically process that region(s) differently in terms of spatial image enhancement than the remaining portion of the image located outside of the facial region(s). For example, the automatic processing at step 306 of the human facial region(s) may include, but is not limited to, restricting the amount of sharpening done, not utilizing any spatial image enhancement technique, utilizing a smoothing technique, utilizing any facial enhancement technique, smoothly varying the amount of processing in order to limit the visible discontinuity at the edge of the bounding box(es) containing the human face(s), reducing the amount of smoothing and sharpening done, and/or any other spatial enhancement technique that is different from the spatial image enhancement technique(s) utilized for automatically processing the portion of the image outside of the facial region(s). It is understood that at least some portion, perhaps not all, of the human facial region(s) of the image may be subjected to the functionality of step 306. Once step 306 is completed, the present embodiment exits flowchart 300.
[0033]FIG. 4 is a diagram of an exemplary facial image enhancement dialog box 400 that may be utilized in accordance with embodiments of the present invention. It is appreciated that the facial image enhancement dialog box 400 may be implemented as, but is not limited to, a graphical user interface (GUI). The facial image enhancement dialog box 400 may be utilized in conjunction with a method (e.g., flowchart 100 and/or 300) for processing a human facial region(s) of an image differently in terms of spatial image enhancement than the portion of the image located outside of the facial region(s).
Specifically, the facial image enhancement dialog box 400 enables a user to specifically tailor the manner in which spatial image enhancement is performed with relation to any human facial regions that exist within an image. For example, the facial image enhancement dialog box 400 provides its user at line 402 the ability to turn on or off the application of spatial image enhancement for facial regions of an image. Furthermore, if the user chooses to have spatial image enhancement applied to the facial regions by selecting the “On” box at line 402, the user is then able to adjust the parameters of specific spatial image enhancement techniques. For example, the user may utilize slider 404 in order to increase or decrease the amount of image sharpening technique applied to the facial regions of the image. Additionally, the user may utilize slider 406 in order to increase or decrease the amount of image smoothing technique applied to the facial regions of the image.
It is noted that other spatial image enhancement techniques may be incorporated as part of facial image enhancement dialog box 400 of FIG. 4. In this manner, the facial image enhancement dialog box 400 provides its user even more options for specifically controlling the spatial image enhancement of the facial regions of the image. It is appreciated that the facial image enhancement dialog box 400 may be an optional feature that provides users the ability to personalize the spatial image enhancement associated with any facial regions of the image.
[0036]FIG. 5 is a block diagram of an exemplary network 500 that may be utilized in accordance with embodiments of the present invention. Within networking environment 500 a computer 502 may be coupled to, but not limited to, a digital camera 510, an image scanner 504, a display device 512 and a printer 508. Specifically, the computer 502 and the printer 508 are communicatively coupled to network 506. It is appreciated that computer 502 and printer 508 may be communicatively coupled to network 506 via wired and/or wireless communication technologies. In this manner, computer 502 is capacitated to transmit digital images to printer 508 via network 506 for printing.
The network 506 of networking environment 500 may be implemented in a wide variety of ways in accordance with the present embodiment. For example, network 506 may be implemented as, but is not limited to, a local area network (LAN), a metropolitan area network (MAN), a wide area network (WAN) and/or the Internet. It is noted that networking environment 500 is well suited to be implemented without network 506. As such, computer 502 may be communicatively coupled to printer 508 via wired and/or wireless communication technologies. As such, computer 502 is able to transmit digital images to printer 508 to be printed.
Within FIG. 5, the digital camera 510 and image scanner 504 may be communicatively coupled to computer 502. It is understood that the digital camera 510 and scanner 504 may be communicatively coupled to computer 502 via wired and/or wireless communication technologies. In this fashion, the digital camera 510 and the image scanner 504 are able to transmit digital images to the computer 502. Subsequently, the digital images may be output by computer 502 to be seen on display device 512 by a viewer. Furthermore, the digital images may be output by computer 502 to printer 508 via network 506 to subsequently be printed.
[0039]FIG. 6 is a block diagram of an exemplary computer system 502 that may be used in accordance with embodiments of the present invention. It is understood that system 502 is not strictly limited to be a computer system. As such, system 502 of the present embodiment is well suited to be any type of computing device (e.g., server computer, desktop computer, laptop computer, portable computing device, etc.). Within the discussions of the present invention herein, certain processes and steps were discussed that may be realized, in one embodiment, as a series of instructions (e.g., software program) that reside within computer readable memory units of computer system 502 and executed by a processor(s) of system 502. When executed, the instructions cause computer 502 to perform specific actions and exhibit specific behavior which is described herein.
Computer system 502 of FIG. 6 comprises an address/data bus 610 for communicating information, one or more central processors 602 coupled with bus 610 for processing information and instructions. Central processor unit(s) 602 may be a microprocessor or any other type of processor. The computer 502 also includes data storage features such as a computer usable volatile memory unit 604, e.g., random access memory (RAM), static RAM, dynamic RAM, etc., coupled with bus 610 for storing information and instructions for central processor(s) 602, a computer usable non-volatile memory unit 606, e.g., read only memory (ROM), programmable ROM, flash memory, erasable programmable read only memory (EPROM), electrically erasable programmable read only memory (EEPROM), etc., coupled with bus 610 for storing static information and instructions for processor(s) 602.
System 502 also includes one or more signal generating and receiving devices 608 coupled with bus 610 for enabling system 502 to interface with other electronic devices. The communication interface(s) 608 of the present embodiment may include wired and/or wireless communication technology. For example, in one embodiment of the present invention, the communication interface 608 is a serial communication port, but could also alternatively be any of a number of well known communication standards and protocols, e.g., a Universal Serial Bus (USB), an Ethernet adapter, a FireWire (IEEE 1394) interface, a parallel port, a small computer system interface (SCSI) bus interface, an infrared (IR) communication port, a Bluetooth wireless communication adapter, a broadband connection, and the like. In another embodiment, a cable or digital subscriber line (DSL) connection may be employed. In such a case the communication interface(s) 608 may include a cable modem or a DSL modem. Additionally, the communication interface(s) 608 may provide a communication interface to the Internet.
Optionally, computer system 502 can include an alphanumeric input device 614 including alphanumeric and function keys coupled to the bus 610 for communicating information and command selections to the central processor(s) 602. The computer 502 can also include an optional cursor control or cursor directing device 616 coupled to the bus 610 for communicating user input information and command selections to the processor(s) 602. The cursor directing device 616 can be implemented using a number of well known devices such as a mouse, a track ball, a track pad, an optical tracking device, a touch screen, etc. Alternatively, it is appreciated that a cursor can be directed and/or activated via input from the alphanumeric input device 614 using special keys and key sequence commands. The present embodiment is also well suited to directing a cursor by other means such as, for example, voice commands.
The system 502 of FIG. 6 can. also include a computer usable mass data storage device 618 such as a magnetic or optical disk and disk drive (e.g., hard drive or floppy diskette) coupled with bus 610 for storing information and instructions. An optional display device 512 is coupled to bus 610 of system 502 for displaying video and/or graphics. It should be appreciated that optional display device 512 may be a cathode ray tube (CRT), flat panel liquid crystal display (LCD), field emission display (FED), plasma display or any other display device suitable for displaying video and/or graphic images and alphanumeric characters recognizable to a user.
Accordingly, embodiments of the present invention provide a way to enable printer drivers to produce images that include more pleasing and/or attractive reproductions of human facial regions.
1. A method for processing a human facial region of an image differently than the remaining portion of said image, said method comprising:
determining whether a human facial region exists within an image;
if said human facial region exists within said image, determining the location of said human facial region within said image; and
processing said human facial region differently in terms of spatial image enhancement than the remaining portion of said image.
2. The method as described in claim 1 wherein said processing said human facial region differently in terms of spatial image enhancement than the remaining portion of said image includes processing said human facial region without a spatial image enhancement technique.
3. The method as described in claim 1 wherein said processing said human facial region differently in terms of spatial image enhancement than the remaining portion of said image includes utilizing an image sharpening technique with the remaining portion of said image without utilizing said image sharpening technique with said human facial region.
4. The method as described in claim 1 wherein said processing said human facial region differently in terms of spatial image enhancement than the remaining portion of said image includes utilizing an image smoothing technique on said human facial region and utilizing an image sharpening technique with the remaining portion of said image.
5. The method as described in claim 1 wherein said processing said human facial region differently in terms of spatial image enhancement than the remaining portion of said image includes utilizing a facial enhancement technique on said human facial region and utilizing another image enhancement technique on the remaining portion of said image.
6. The method as described in claim 1 wherein said method is performed by a printer driver.
7. The method as described in claim 1 wherein said image is a digital image.
8. A system for processing a human facial region of a digital image differently than the remaining region of said digital image, said system comprising:
means for deciding whether a human facial region resides within a digital image;
means for locating said human facial region within said digital image, in response to said human facial region existing within said digital image; and
means for processing said human facial region differently in terms of spatial image enhancement than the remaining region of said digital image.
9. The system as described in claim 8 wherein said means for processing includes processing said human facial region without a spatial image enhancement technique that is used with the remaining region of said image.
10. The system as described in claim 8 wherein said means for processing includes using a sharpening technique with the remaining region of said image without using said digital image sharpening technique with said human facial region.
11. The system as described in claim 8 wherein said means for processing includes using a smoothing technique on said human facial region and using a sharpening technique with the remaining region of said digital image.
12. The system as described in claim 8 wherein said means for processing includes using a facial enhancement technique on said human facial region and utilizing another image enhancement technique on the remaining region of said digital image.
13. The system as described in claim 8 wherein said system is associated with a printer driver, digital camera, image scanner or computer.
14. A computer readable medium having computer readable code embodied therein for causing a system to perform:
deciding if a digital image includes a human facial region;
if said digital image includes said human facial region, determining the position of said human facial region within said digital image; and
processing the portion of said digital image located outside of said human facial region differently with respect to spatial image enhancement than said human facial region of said digital image.
15. The computer readable medium as described in claim 14 wherein said processing further comprises processing the portion of said digital image located outside of said human facial region with a spatial image enhancement technique and processing said human facial region without said spatial image enhancement technique.
16. The computer readable medium as described in claim 15 wherein said spatial image enhancement technique includes an image sharpening technique.
17. The computer readable medium as described in claim 14 wherein said processing further comprises using an image smoothing technique with said human facial region and using an image sharpening technique with the portion of said digital image located outside of said human facial region.
18. The computer readable medium as described in claim 14 wherein said processing further comprises using a facial enhancement technique on said human facial region and utilizing another image enhancement technique on the portion of said digital image located outside of said human facial region.
19. The computer readable medium as described in claim 14 wherein said computer readable medium is associated with a printer driver, a digital camera, or a scanner.
20. The computer readable medium as described in claim 14 further comprises receiving said data associated with said digital image.
21. The computer readable medium as described in claim 14 further comprises storing a processed image associated with said processing the portion of said digital image located outside of said human facial region differently with respect to spatial image enhancement than said human facial region of said digital image.
processing said human facial region differently with respect to spatial image enhancement than the remaining portion of said image.
23. The computer system as described in claim 22 wherein said processing said human facial region differently with respect to spatial image enhancement than the remaining portion of said image includes processing said human facial region without a spatial image enhancement technique.
24. The computer system as described in claim 22 wherein said processing said human facial region differently with respect to spatial image enhancement than the remaining portion of said image includes utilizing an image sharpening technique with the remaining portion of said image without utilizing said image sharpening technique with said human facial region.
25. The computer system as described in claim 22 wherein said processing said human facial region differently with respect to spatial image enhancement than the remaining portion of said image includes utilizing an image smoothing technique on said human facial region and utilizing an image sharpening technique with the remaining portion of said image.
26. The computer system as described in claim 22 wherein said processing said human facial region differently with respect to spatial image enhancement than the remaining portion of said image includes utilizing a facial enhancement technique on said human facial region and utilizing another image enhancement technique on the remaining portion of said image.
27. The computer system as described in claim 22 wherein said image is a digital image.
US10420677 2003-04-21 2003-04-21 Processing a facial region of an image differently than the remaining portion of the image Abandoned US20040208388A1 (en)
US10420677 US20040208388A1 (en) 2003-04-21 2003-04-21 Processing a facial region of an image differently than the remaining portion of the image
EP20030024956 EP1471462A1 (en) 2003-04-21 2003-10-29 Method for processing a facial region of an image differently than the remaining portion of the image
JP2004123292A JP2004326779A (en) 2003-04-21 2004-04-19 Method for processing facial area in image by method different from method for processing other part in image
US20040208388A1 true true US20040208388A1 (en) 2004-10-21
ID=32962415
US10420677 Abandoned US20040208388A1 (en) 2003-04-21 2003-04-21 Processing a facial region of an image differently than the remaining portion of the image
US (1) US20040208388A1 (en)
EP (1) EP1471462A1 (en)
JP (1) JP2004326779A (en)
EP1471462A1 (en) 2004-10-27 application
JP2004326779A (en) 2004-11-18 application
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SCHRAMM, MORGAN;GONDEK, JAY;BERGE, THOMAS G.;REEL/FRAME:014263/0836;SIGNING DATES FROM 20030212 TO 20030418