An estimated image data calculator is configured to calculate, as estimated image data, for each of image data of respective colors outputted from an imaging element, on the basis of a pixel value of a first pixel on one of two lines adjacent to each other in the image data, and a pixel value of a second pixel on the other of the two lines and adjacent to the first pixel, image data of a non-reading region between a reading region in a document corresponding to the one of the two lines and a reading region in the document corresponding to the other of the two lines. A pixel value correcting unit is configured to correct at least one of the pixel value of the first pixel and the pixel value of the second pixel on the basis of the estimated image data.

Systems and methods are disclosed for content aware digital image enhancement. In particular, in one or more embodiments, the disclosed systems and methods analyze content of a digital image portraying a document with graphics and/or text and generate a cleaning confidence map. Specifically, in one or more embodiments, the disclosed systems and methods generate a cleaning confidence map indicating a likelihood that each pixel in the digital image portrays text or a graphic. Moreover, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map as a reflection of how aggressively to modify digital images. In particular, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map to remove shadows, identify and clean background pixels, and correct contrast in relation to the digital image.

Systems and methods are disclosed for content aware digital image enhancement. In particular, in one or more embodiments, the disclosed systems and methods analyze content of a digital image portraying a document with graphics and/or text and generate a cleaning confidence map. Specifically, in one or more embodiments, the disclosed systems and methods generate a cleaning confidence map indicating a likelihood that each pixel in the digital image portrays text or a graphic. Moreover, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map as a reflection of how aggressively to modify digital images. In particular, in one or more embodiments, the disclosed systems and methods utilize the cleaning confidence map to remove shadows, identify and clean background pixels, and correct contrast in relation to the digital image.

A method and system for joint edge enhancement and mosaic are described. In one embodiment, the system comprises an image capture unit having an image capture sensor; and an image processor comprising a first module operable to perform joint edge enhancement and demosaic processing.

A method and system for joint edge enhancement and mosaic are described. In one embodiment, the system comprises an image capture unit having an image capture sensor; and an image processor comprising a first module operable to perform joint edge enhancement and demosaic processing.

An image processing method, an image forming apparatus, and a storage medium are provided in embodiments of the present disclosure. The image processing method includes acquiring a first color component value and a second color component value of each pixel of a to-be-processed image in a preset color space; determining a color cast pixel according to the first color component value and the second color component value of each pixel; and performing pixel correction on each color cast pixel to obtain a corrected to-be-processed image. In the technical solutions of various embodiment of the present application, the color cast pixel in the to-be-processed image is determined by the first color component value and the second color component value of the pixel, and the pixel correction is performed on the color cast pixel, which removes colored noise in the printed image and improves image printing quality.

An image processing method, an image forming apparatus, and a storage medium are provided in embodiments of the present disclosure. The image processing method includes acquiring a first color component value and a second color component value of each pixel of a to-be-processed image in a preset color space; determining a color cast pixel according to the first color component value and the second color component value of each pixel; and performing pixel correction on each color cast pixel to obtain a corrected to-be-processed image. In the technical solutions of various embodiment of the present application, the color cast pixel in the to-be-processed image is determined by the first color component value and the second color component value of the pixel, and the pixel correction is performed on the color cast pixel, which removes colored noise in the printed image and improves image printing quality.

An apparatus includes a reduction unit configured to perform color reduction processing for quantizing a color in the generated image data, a change unit configured to change, in a case where brightness of an edge pixel indicating an edge portion in an image based on the image data with the color quantized is equal to or higher than a threshold value, a pixel value of the edge pixel to a pixel value of a color of a pixel having highest brightness among pixels surrounding the edge pixel, and change, in a case where the brightness of the edge pixel is lower than the threshold value, the pixel value of the edge pixel to a pixel value of a color of a pixel having lowest brightness among the pixels surrounding the edge pixel.

An apparatus includes a reduction unit configured to perform color reduction processing for quantizing a color in the generated image data, a change unit configured to change, in a case where brightness of an edge pixel indicating an edge portion in an image based on the image data with the color quantized is equal to or higher than a threshold value, a pixel value of the edge pixel to a pixel value of a color of a pixel having highest brightness among pixels surrounding the edge pixel, and change, in a case where the brightness of the edge pixel is lower than the threshold value, the pixel value of the edge pixel to a pixel value of a color of a pixel having lowest brightness among the pixels surrounding the edge pixel.

An apparatus includes, a change unit configured to change a pixel value of an edge pixel indicating an edge portion of an image based on the image data having the quantized color, wherein, in a case where the pixel value of the edge pixel is a pixel value changed by color reduction processing to decrease a luminance, the change unit changes the pixel value of the edge pixel to a pixel value of a pixel having a highest luminance among pixels surrounding the edge pixel, and wherein, in a case where the pixel value of the edge pixel is a pixel value changed by the color reduction processing to increase a luminance, the change unit changes the pixel value of the edge pixel to a pixel value of a pixel having a lowest luminance among pixels surrounding the edge pixel.