Source: https://patents.google.com/patent/CN107211070B/en
Timestamp: 2020-04-02 17:22:49
Document Index: 247174223

Matched Legal Cases: ['art 2', 'art 2', 'art 2', 'art 2', 'art 2', 'art 11', 'art 12', 'art 11', 'art 11', 'art 11', 'art 12', 'art 12', 'art 12', 'art 12', 'art 12', 'art 12', 'art 12', 'art 11', 'art 2', 'art 11', 'art 11', 'art 13', 'art 2', 'art 2', 'art 12']

CN107211070B - Image processing apparatus - Google Patents
CN107211070B
CN107211070B CN201680009930.0A CN201680009930A CN107211070B CN 107211070 B CN107211070 B CN 107211070B CN 201680009930 A CN201680009930 A CN 201680009930A CN 107211070 B CN107211070 B CN 107211070B
CN201680009930.0A
CN107211070A (en
村本秀也
2015-02-27 Priority to JP2015037999 priority Critical
2015-02-27 Priority to JP2015-037999 priority
2016-02-17 Application filed by 京瓷办公信息系统株式会社 filed Critical 京瓷办公信息系统株式会社
2016-02-17 Priority to PCT/JP2016/054510 priority patent/WO2016136541A1/en
2017-09-26 Publication of CN107211070A publication Critical patent/CN107211070A/en
2019-01-15 Publication of CN107211070B publication Critical patent/CN107211070B/en
Character edge region determining section is determined the character edge region of input image data；Output image processing part executes following image procossing to object pixel, the image procossing is to belong to the average value of the quantity in character edge region and continuous pixel and the pixel value of continuous boundary pixel referring in window, continuous boundary pixel centered on the object pixel in determined character edge region according to being contained in, and be adjusted to carbon dust consumption.
The present invention relates to image processing apparatus.
There is the device for being able to carry out and saving carbon dust processing in the image forming apparatuses such as printer, compounding machine.
In a certain image processing apparatus, as saving carbon dust processing, to the netrual colour part (K signal) of original copy for type composition into Row gray correction, to high concentration portion without save carbon dust processing and to low concentration portion carry out save carbon dust processing (referring for example to Patent document 1).
[existing technical literature]
Patent document 1: JP Publication, special open No. 2008-219386 number
But in the case where above-mentioned image processing apparatus, there are the following problems, it may be assumed that for the low concentration in black and white original Text, lead to readable reduction due to saving carbon dust, and for the text of the high concentration in black and white original, carbon dust consumption Do not reduce.
The present invention is to complete in view of the above problems, can its object is to obtain that the text in a kind of pair of original copy both ensures The property read makes the image processing apparatus of carbon dust consumption reduction again.
The image processing apparatus that one embodiment of the present invention is related to has character edge region determining section and output image Processing unit, wherein character edge region determining section is determined the character edge region of input image data, exports at image Reason portion executes following image procossing to object pixel, which is that basis is contained in the determined character edge Centered on the object pixel in region referring to number in window, belonging to the character edge region and continuous pixel The average value of the character edge region and the pixel value of continuous pixel is measured and belonged to, and carbon dust consumption is adjusted.
According to the present invention, it had not only ensured readable for the text in original copy but also had reduced carbon dust consumption.
Fig. 1 is the block diagram of the structure for the image processing apparatus for indicating that embodiment of the present invention is related to.
Fig. 2 is the flow chart being illustrated to the movement of image processing apparatus shown in FIG. 1.
Fig. 3 A is the figure for indicating an example of thick text of high concentration.
Fig. 3 B is the figure for indicating an example in the character edge region of thick text of high concentration.
Fig. 3 C is the figure for indicating an example of the continuous boundary pixel of thick text of high concentration.
Fig. 4 A is the figure for indicating an example of thin text of high concentration.
Fig. 4 B is the figure for indicating an example in the character edge region of thin text of high concentration.
Fig. 4 C is the figure for indicating an example of the continuous boundary pixel of thin text of high concentration.
Fig. 5 A is the figure for indicating an example of thick text of low concentration.
Fig. 5 B is the figure for indicating an example in the character edge region of thick text of low concentration.
Fig. 5 C is the figure for indicating an example of the continuous boundary pixel of thick text of low concentration.
Fig. 1 is the block diagram of the structure for the image processing apparatus for indicating that embodiment of the present invention is related to.At image shown in FIG. 1 Reason device is the image forming apparatus of such as printer, compounding machine or the like.
Image processing apparatus shown in FIG. 1 has image input unit 1, image processing part 2 and image output unit 3.Image Input unit 1 for example with scanner, reads original image optically, generates the image data of the original image, and will figure As data are exported to image processing part 2.Image processing part 2 carries out various images to the image data inputted from image input unit 1 Processing, and the image data after image procossing is exported to image output unit 3.Image output unit 3, will for example with print engine Image printing based on the image data from image processing part 2 is on printing.
In addition, image processing part 2 has image-region judging part 11 and output image processing part 12.
Image-region judging part 11 carries out image-region judgement to each pixel of input image data.Specifically, figure As region decision portion 11 is using the area attribute of each pixel of input image data as character area, white background region, non-white background area In domain and dot area any one and be determined.For example, image-region judging part 11 utilizes Laplace filter Deng extraction edge, and the processing of the label (labeling) by implementing for the edge extracted determines character area.
In turn, image-region judging part 11 has character edge region determining section 21, edge pixel number determining section 22, is averaged Pixel value determining section 23 and correcting value determining section 24.
Character edge region determining section 21 is according to input image data to the colour of character area or the character side of netrual colour Edge region is determined.
Specifically, character edge region determining section 21 detects the character edge of character area according to input image data, And the range of the high concentration side of character edge is determined according to the low concentration side of the character edge and the concentration difference of high concentration side For character edge region.Therefore, the text of high concentration, the character edge region of the text become wider.
In addition, edge pixel number determining section 22 is determined the quantity of following pixel, it may be assumed that be contained in character edge area Centered on object pixel in domain referring in window, to belong to character edge region and continuous pixel (hereinafter referred to as " continuous Edge pixel ").For example it is set as 9 pixels × 9 pixels, 13 pixels × 13 pixels etc. referring to the size of window.In addition, referring to window The size of the main scanning direction of mouth and the size of sub-scanning direction can also be different.
Specifically, continuous boundary pixel, which is contained among referring to the pixel in window, belongs to character edge region Pixel, also, be on any one direction in above-below direction, in left and right directions and inclined direction with belong to character edge The consecutive pixel of other pixels in region.
In addition, average pixel value determining section 23 is contained in pixel value referring to the continuous boundary pixel in window to above-mentioned Average value is determined.
Correcting value determining section 24 is determined according to the pixel number determined by edge pixel number determining section 22 and by average pixel value The average value that portion 23 determines, is determined correcting value.
Correcting value determining section 24 is determined in the following manner, it may be assumed that the pixel number of continuous boundary pixel is more, makes the correction Amount is bigger, and the average value of the pixel value of continuous boundary pixel is bigger, keeps the correcting value bigger.
Here, for example, correcting value determining section 24 is by the pixel number determined by edge pixel number determining section 22 and by average picture The product for the average value that plain value determining section 23 determines is determined as correcting value.
Image processing part 12 is exported to carry out for the required image procossing based on image data printing.For example, output figure The color school that the edge enhancing processing using differential filter etc. is carried out to character area, makes character area adaptation as processing unit 12 Positive processing, black print generate (black generation)/UCR (Under Color Removal, undercolour removal) processing, centre Tone processing etc., for dot area or basal region, carries out the smoothing techniques using integration filter etc., makes dot area Or color correction process, black print generation/UCR processing, semi-tone processing etc. that basal region adapts to.Make to print image as a result, Interior word segment is clearly distinct, and inhibits the moir patterns and noise of site part.
In turn, output image processing part 12 is according to the pixel number determined by edge pixel number determining section 22 and by average picture The mode that the average value that plain value determining section 23 determines is adjusted carbon dust consumption, executes object pixel at above-mentioned image Reason.
At this point, output image processing part 12 is adjusted according to intensity of the above-mentioned correcting value to the image procossing.Output figure As processing unit 12 it is bigger by above-mentioned correcting value and for object pixel carbon dust consumption more tail off in a manner of, execute the image Processing.That is, executing the image procossing after setting the value of parameter of the image procossing according to above-mentioned correcting value.
For example, output image processing part 12 is adjusted according to the intensity that above-mentioned correcting value enhances edge.Specifically, Above-mentioned correcting value is bigger, and the intensity that output image processing part 12 enhances edge is lower.
In addition, output image processing part 12 carries out semi-tone processing according to above-mentioned correcting value.In this case, above-mentioned correction Measure bigger, output image processing part 12 makes semi-tone treated the spot size of site or dot density smaller.
Next, being illustrated to the movement of above-mentioned image processing apparatus.Fig. 2 is to image processing apparatus shown in FIG. 1 The flow chart that is illustrated of movement.
Firstly, image input unit 1 generates the bitmap image data of the original image read by image analyzer, and stores and arrive In memory (not shown) etc. (step S1).In image-region judging part 11, character edge region determining section 21 is in the page Character edge region be determined (step S2).
Then, image processing part 2 selects the image data in each page according to the scanning sequency of regulation page by page Object pixel (step S3).
Then, image-region judging part 11 judges whether object pixel belongs to character edge region (step S4).
When object pixel belongs to character edge region, image-region judging part 11 is to being contained in centered on object pixel Be determined referring to the continuous boundary pixel in window, also, edge pixel number determining section 22 is to determined continuous boundary The quantity of pixel is counted (step S5), and average pixel value determining section 22 is to the pixel value of determined continuous boundary pixel Average value is determined (step S6).
Then, correcting value determining section 24 is right according to the quantity of determined continuous boundary pixel and the average value of pixel value (step S7) is determined for the correcting value of object pixel.
In addition, setting default value to the correcting value of object pixel when object pixel is not belonging to character edge region.
Then, the above-mentioned image adaptation that output image processing part 13 be applicable in determining correcting value to object pixel is handled (spatial filter processing, color correction process, black print generation/UCR processing, semi-tone processing etc.) (step S8).It is right as a result, In object pixel, carbon dust consumption is adjusted according to determining correcting value.
Here, being illustrated to concrete example.
Fig. 3 A is the figure for indicating an example of thick text of high concentration, and Fig. 3 B is the character edge for indicating the thick text of high concentration The figure of an example in region, Fig. 3 C are the figures for indicating an example of the continuous boundary pixel of thick text of high concentration.
Fig. 4 A is the figure for indicating an example of thin text of high concentration, and Fig. 4 B is the character edge for indicating the thin text of high concentration The figure of an example in region, Fig. 4 C are the figures for indicating an example of the continuous boundary pixel of thin text of high concentration.
Fig. 5 A is the figure for indicating an example of thick text of low concentration, and Fig. 5 B is the character edge for indicating the thick text of low concentration The figure of an example in region, Fig. 5 C are the figures for indicating an example of the continuous boundary pixel of thick text of low concentration.
In the case where the text shown in Fig. 3 A (text that pixel value is 230), since the contrast of character edge is (that is, high The difference of concentration side and low concentration side) greatly, therefore, as shown in Figure 3B, the character edge region of two pixel wides is determined.So Afterwards, in the case where the object pixel shown in such as Fig. 3 C, the quantity of continuous boundary pixel is 36, and continuous boundary pixel is averaged Value is 230.If being normalized with all pixels number (=81) referring to window, the quantity of continuous boundary pixel becomes 0.44 (=36/81), if the maximum value (=255) with pixel value is normalized, the average value of continuous boundary pixel becomes 0.90 (=230/255).Therefore, the correcting value of the object pixel becomes 0.40 (=0.44 × 0.90).
It, should although the contrast of character edge is big in the case where the text shown in Fig. 4 A (text that pixel value is 230) Text is the thin text an of pixel wide, and therefore, as shown in Figure 4 B, the character edge region of a pixel wide is determined. Then, in the case where the object pixel shown in such as Fig. 4 C, the quantity of continuous boundary pixel is 12, and continuous boundary pixel is put down Mean value is 230.If being normalized with all pixels number referring to window, the quantity of continuous boundary pixel become 0.15 (= 12/81), if the maximum value with pixel value is normalized, the average value of continuous boundary pixel becomes 0.90 (=230/ 255).Therefore, the correcting value of the object pixel becomes 0.14 (=0.15 × 0.90).
In the case where the text shown in Fig. 5 A (text that pixel value is 120), since the contrast of character edge is small, because This, as shown in Figure 5 B, the character edge region of a pixel wide is determined.Then, the object pixel shown in such as Fig. 5 C In the case where, the quantity of continuous boundary pixel is 21, and the average value of continuous boundary pixel is 120.If with referring to all of window Pixel number is normalized, then the quantity of continuous boundary pixel becomes 0.26 (=21/81), if being carried out with the maximum value of pixel value Normalization, then the average value of continuous boundary pixel becomes 0.47 (=120/255).Therefore, the correcting value of the object pixel becomes 0.12 (=0.26 × 0.47).
In this way, for thin text or low concentration text, since correcting value becomes smaller, so that the side that carbon dust reduction becomes smaller Formula executes image procossing.Thus, it is suppressed that the generation of the broken string of thin text, and the hair for inhibiting the point of low concentration text to disappear It is raw, therefore, it is inhibited with the readable reduction situation that carbon dust cuts down these generated texts.
At the end of the above-mentioned processing (step S3~S8) for object pixel, image processing part 2 judges that object pixel is It is no reach page last (step S9), object pixel do not reach page it is last when, return step S3 selects next target picture Element, and above-mentioned processing (step S3~S8) is executed to the object pixel.
On the other hand, object pixel arrived page it is last when, image processing part 2 terminate this page image procossing, and Image output unit 3 is set to execute the printing (step S10) of this page.
As described above, according to above embodiment, character side of the character edge region determining section 21 to input image data Edge region is determined.Output image processing part 12 executes following image procossing to object pixel, it may be assumed that is contained in for basis (belong to character referring in window, continuous boundary pixel centered on the object pixel in determined character edge region Fringe region and continuous pixel) quantity and continuous boundary pixel pixel value average value and to carbon dust consumption carry out Adjust this image procossing.
The carbon dust reduction for each pixel of thin text or low concentration text is less than thin text or low concentration text as a result, Therefore other texts except word had not only ensured readable but also had made the reduction of carbon dust consumption to the text in original copy.
In addition, having filament part and thick line portion even if mixing in the such text of such as Ming Dynasty's body or Serif body In the case where, due to also determining above-mentioned correcting value to each pixel, in the case where not damaging the readability of filament part Adjustment can be completed, and thick line portion carbon dust is more cut down, thus, it had not only ensured readable but also had consumed carbon dust Amount is reduced.
In addition, about the various changes and modification that are carried out for above embodiment, for those skilled in the art Speech is unquestionable.It can also be in the case where not departing from the spirit or scope of its theme and not weakening its desired advantage It is so changed and is modified.I.e., it is intended that so change and modification is comprising within the scope of the claims.
In the above-described embodiment, the width in character edge region is according to the low concentration side of character edge and high concentration side Concentration difference and in variable, but it is also possible to be not limited to the low concentration side of character edge and the concentration difference of high concentration side and set For fixed width.
The present invention can for example be suitable for the image processing apparatus of digital complex machine, image analyzer etc..
1. a kind of image processing apparatus, which is characterized in that have:
Character edge region determining section is determined the character edge region of input image data, and
Image processing part is exported, following image procossing is executed to object pixel, which is that basis is contained in quilt Centered on the object pixel in the determining character edge region referring to it is in window, belong to the character edge area The quantity of domain and continuous pixel and the average value for belonging to character edge region and the pixel value of continuous pixel, and to carbon Powder consumption is adjusted；
Described image processing unit is further equipped with correcting value determining section,
The correcting value determining section is according in the reference window being contained in centered on the object pixel in the character edge region , belong to the character edge region and the quantity of continuous pixel and belong to the character edge region pixel pixel value Average value, and correcting value is determined；
The quantity for belonging to the character edge region and continuous pixel is more, and the correcting value determining section gets over the correcting value Greatly, also, belong to the character edge region and the pixel value of continuous pixel average value it is bigger, the correcting value determining section Keep the correcting value bigger；
The output image processing part is adjusted according to the intensity that the correcting value handles described image.
2. image processing apparatus as described in claim 1, which is characterized in that
The output image processing part executes that the correcting value the big, more becomes for the carbon dust consumption of the object pixel This few image procossing.
3. image processing apparatus as described in claim 1, which is characterized in that
Character edge region determining section detects the character edge of the input image data, and according to the character edge The concentration difference of low concentration side and high concentration side and the range of the high concentration side of the character edge is determined as the character edge Region.
CN201680009930.0A 2015-02-27 2016-02-17 Image processing apparatus CN107211070B (en)
JP2015037999 2015-02-27
JP2015-037999 2015-02-27
PCT/JP2016/054510 WO2016136541A1 (en) 2015-02-27 2016-02-17 Image-processing device
CN107211070A CN107211070A (en) 2017-09-26
CN107211070B true CN107211070B (en) 2019-01-15
ID=56788597
CN201680009930.0A CN107211070B (en) 2015-02-27 2016-02-17 Image processing apparatus
US (1) US10382653B2 (en)
JP (1) JP6440000B2 (en)
CN (1) CN107211070B (en)
WO (1) WO2016136541A1 (en)
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2016-02-17 CN CN201680009930.0A patent/CN107211070B/en active IP Right Grant
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2016-02-17 JP JP2017502288A patent/JP6440000B2/en active Active
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JPWO2016136541A1 (en) 2017-11-24
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