Abstract: An inspection apparatus inspects image data obtained by reading a sheet using a reference image of the image data. The inspection apparatus obtains first image data by reading a sheet having lines printed thereon, obtains second image data from print data of the lines, performs edge correction on the lines included in the second image data by applying a plurality of edge correction parameters being different from each other, and determines an edge correction parameter of the plurality of edge correction parameters that minimizes a difference between a density of the second image data subjected to the edge correction and a density of the first image data. In addition, edge correction is performed on the reference image using the determined edge correction parameter, and image data obtained by reading a sheet of an inspection target using the reference image on which the edge correction has been performed is inspected.

Abstract: An inspection apparatus selects at least one character area, in a first preview image obtained by reading and previewing a print product, sets a direction, for a character in the selected character area, registers the set direction and the character in the selected character area in association with each other, selects at least one character inspection area, in a second preview image obtained by reading and previewing a print product as an inspection target, sets a direction, for a character in the selected character inspection area, rotates the character inspection area to match the set direction, with the direction set for the character in the selected character area, performs character recognition, for the character in the rotated character inspection area, and inspects the character inspection area, based on a result of the character recognition and a result of recognizing the character in the selected character area.

Abstract: 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.

Abstract: 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.

Abstract: An inspection apparatus for detecting a difference between image data obtained by reading a sheet, and a reference image of the image data. The inspection apparatus obtains first image data by reading a sheet having a patch image printed thereon, obtains second image data from print data of the patch image, performs edge correction on a line included in the second image data by applying an edge correction parameter, and obtains an edge correction parameter that minimizes a difference between the density of the second image data subjected to the edge correction and the density of the first image data, and stores the obtained edge correction parameter.

Abstract: An inspection apparatus selects at least one character area, in a first preview image obtained by reading and previewing a print product, sets a direction, for a character in the selected character area, registers the set direction and the character in the selected character area in association with each other, selects at least one character inspection area, in a second preview image obtained by reading and previewing a print product as an inspection target, sets a direction, for a character in the selected character inspection area, rotates the character inspection area to match the set direction, with the direction set for the character in the selected character area, performs character recognition, for the character in the rotated character inspection area, and inspects the character inspection area, based on a result of the character recognition and a result of recognizing the character in the selected character area.

Abstract: 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.

Abstract: 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.

Abstract: An image processing apparatus includes a reading unit configured to read an image of a document and generate image data, a first binarization unit configured to generate binary image data by performing halftone processing on the image data generated by the reading unit, a smoothing unit configured to perform smoothing processing on a character region of the binary image data, a second binarization unit configured to perform binarization processing on the character region having been subjected to the smoothing processing by the smoothing unit, and a character recognition unit configured to perform character recognition processing on the character region having been subjected to the binarization processing by the second binarization unit.

Abstract: An apparatus includes a resolving unit configured to resolve input image data into image data for each frequency band, an acquisition unit configured to acquire skewness corresponding to the resolved image data resolved by the resolving unit, wherein the skewness is acquired from a histogram corresponding to each of the resolved image data, and an adjustment unit configured to determine image data to be processed, out of the resolved image data based on the acquired skewness acquired and perform gain adjustment on the determined image data.

Abstract: An image processing apparatus includes a reading unit configured to read an image of a document and generate image data, a first binarization unit configured to generate binary image data by performing halftone processing on the image data generated by the reading unit, a smoothing unit configured to perform smoothing processing on a character region of the binary image data, a second binarization unit configured to perform binarization processing on the character region having been subjected to the smoothing processing by the smoothing unit, and a character recognition unit configured to perform character recognition processing on the character region having been subjected to the binarization processing by the second binarization unit.

Abstract: An image processing apparatus includes a decomposition unit configured to decompose a color image into at least two color component images, a first obtaining unit configured to obtain a skewness of a histogram corresponding to each of the color component images, and a determination unit configured to determine based on the obtained skewnesses associated with the color component images whether the color image is glossy.

Abstract: A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.

Abstract: An apparatus includes a resolving unit configured to resolve input image data into image data for each frequency band, an acquisition unit configured to acquire skewness corresponding to the resolved image data resolved by the resolving unit, wherein the skewness is acquired from a histogram corresponding to each of the resolved image data, and an adjustment unit configured to determine image data to be processed, out of the resolved image data based on the acquired skewness acquired and perform gain adjustment on the determined image data.

Abstract: A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.

Abstract: A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.

Abstract: An image processing apparatus includes a decomposition unit configured to decompose a color image into at least two color component images, a first obtaining unit configured to obtain a skewness of a histogram corresponding to each of the color component images, and a determination unit configured to determine based on the obtained skewnesses associated with the color component images whether the color image is glossy.

Abstract: A device having a function of adjusting image processing such as PWM setting, printer density setting and engine speed downstream of a video counter or a dot counter determines a correction coefficient of a video count value or a dot count value, according to a combination of adjustment values of image processing for realizing configured print settings, and corrects the count value by applying the correction coefficient to the video count value or the dot count value.

Abstract: A device having a function of adjusting image processing such as PWM setting, printer density setting and engine speed downstream of a video counter or a dot counter determines a correction coefficient of a video count value or a dot count value, according to a combination of adjustment values of image processing for realizing configured print settings, and corrects the count value by applying the correction coefficient to the video count value or the dot count value.

Abstract: A binary image of an input image is generated, and a character region within the binary image and a region surrounding each character are acquired as character segmentation rectangle information. A thinning process is executed on a region within the binary image which is identified based on the character segmentation rectangle information to acquire a thinned image. An edge detected image of the region identified based on the character segmentation rectangle information is acquired. Whether each character identified based on the character segmentation rectangle information is a character to be separated from a background by the binarization process or not is determined based on a result of a logical AND of the thinned image and the edge detected image.