Patent ID: 9008454
Filing Date: 2015-04-14
Classification: G06T

Abstract:
1. An image processing apparatus comprising: an image obtaining device that obtains an image by projecting an object in actual space to a plane including a plurality of picture cells; an image dividing device that filters the image through a fine structure retrieving filter and a basic structure retrieving filter so as to retrieve a detail signal component of the image and a basic signal component of the image, respectively, wherein the fine structure retrieving filter retrieves the detail signal component from a spatial-frequency component in the image, the detail signal component including an edge component indicative of an edge of the object, a texture component indicative of a texture of the object, and a noise component indicative of a noise overlapping the image, wherein the basic structure retrieving filter retrieves the basic signal component from the spatial-frequency component in the image, the basic signal component being the spatial-frequency component other than the detail signal component; an image correcting device that retrieves one of the picture cells in a fine structure image, which is provided by the detail signal component, as a focused picture cell, determines whether the focused picture cell represents the noise, corrects the detail signal component so as to reduce the noise component in the focused picture cell when the focused picture cell represents the noise so that a corrected detail signal component is generated; and an image synthesizing device that synthesizes a basic structure image, which is provided by the basic signal component, and a corrected fine structure image, which is provided by the corrected detail signal component, so that a modified image is generated, wherein the image correcting device generates a plurality of object picture cells, each of which corresponds to a picture cell in a standard range that is set around the focused picture cell as a center, the image correcting device generates a vector concentration degree, which is calculated by tallying a plurality of directions of brightness gradient vectors, each brightness gradient vector is defined as a difference between a picture cell value of a corresponding object picture cell and a picture cell value of the focused picture cell, the image correcting device determines that the focused picture cell represents the noise when the vector concentration degree is equal to or larger than a predetermined standard threshold, and the predetermined standard threshold is preliminary set as a value indicative of the noise component.