Embodiments of the present invention disclose a method, computer program product, and system for cataloging images based on a gridded color histogram analysis. The computer accesses an image gallery specified by a user, wherein the image gallery is at least one of an image gallery stored on a user computing device, an image gallery stored on a user account at a third-party image storage, or an image gallery searched on the web. The computer receives a request to search the image gallery specified by the user. The computer performs a search of the image gallery, wherein the search is using a color based histogram algorithm based on a user input. The computer transmits a cataloged and sorted image gallery to the user computing device to be displayed.

In some examples, print quality diagnosis may include aligning corresponding characters between a scanned image of a printed physical medium aligned to a master image associated with generation of the printed physical medium to generate a common mask. Print quality diagnosis may further include determining, for each character of the scanned image, an average value associated with pixels within the common mask, and determining, for each corresponding character of the master image, the average value associated with pixels within the common mask. Further, print quality diagnosis may include determining, for each character of the common mask, a metric between the average values associated with the corresponding characters in the scanned and master images.

An image processing apparatus for converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range obtains information of sizes of the first range and the second range, divides the first image based on the information such that the number of areas obtained by dividing the first image when a ratio of the second range to the first range is a first value becomes smaller than that when the ratio is smaller than the first value, sets, for each of the areas, relationship information that associates input brightness values in the first range with output brightness values in the second range, and converts brightness values of pixels included in the first image into brightness values of pixels of the second image based on the relationship information.

An image processing apparatus includes a target value calculation unit configured to calculate a target value to be output in a predetermined region in input image data based on pixel values of pixels included in the region, a distribution order determination unit configured to determine a distribution order of output values for distributing output values corresponding to the target value in the region based on a pixel value of each pixel included in the region and a threshold value in the threshold matrix corresponding to the pixel, and an output value determination unit configured to determine an output value of each pixel included in the region by allocating the target value to at least one pixel included in the region in the distribution order.

An image processing apparatus for converting a first image having a first range of a brightness into a second image having a second range of the brightness narrower than the first range obtains information of sizes of the first range and the second range, divides the first image based on the information such that the number of areas obtained by dividing the first image when a ratio of the second range to the first range is a first value becomes smaller than that when the ratio is smaller than the first value, sets, for each of the areas, relationship information that associates input brightness values in the first range with output brightness values in the second range, and converts brightness values of pixels included in the first image into brightness values of pixels of the second image based on the relationship information.

The image processing system includes a scanner, a pixelated photon detector (PPD), and at least one processor. The at least one processor displays a setting screen on a display unit. The setting screen is a screen for setting an identification range that is a range of gradation to be identified. The at least one processor displays a second image obtained by converting a first image on the display unit. The second image is an image obtained by converting the first image based on at least the identification range. The first image is generated based on an intensity signal of light detected by a PPD and a scanning position by the scanner.

Embodiments of the present invention disclose a method, computer program product, and system for cataloging images based on a gridded color histogram analysis. The computer accesses an image gallery specified by a user, wherein the image gallery is at least one of an image gallery stored on a user computing device, an image gallery stored on a user account at a third-party image storage, or an image gallery searched on the web. The computer receives a request to search the image gallery. The computer performs a search of the image gallery, wherein the search is using a color based histogram algorithm based on a user input. The computer transmits a cataloged and sorted image gallery to the user computing device to be displayed.

An image processing apparatus has a dynamic range compression unit that converts an input luminance signal included in a developed data into an output luminance signal by using a conversion parameter. The unit obtains an input black reference luminance value and an input white reference luminance value of the luminance information included in the developed data. The unit, on a basis of print medium information and observation environment information, obtains an output black reference luminance value and an output white reference luminance value and calculates a reference output luminance value for observation. The unit generates a conversion line and generates the conversion parameter by using the conversion line. The conversion line indicating a correspondence between the input luminance signal and the output luminance signal.

An image pickup apparatus according to an embodiment includes an image pickup unit configured to take an image including an object, a shooting condition control unit configured to control a shooting condition for the image pickup unit so that no blown out highlight occurs in a taken image taken by the image pickup unit, an object extraction unit configured to extract the object included in the taken image, a block-division unit configured to divide the taken image into a plurality of blocks according to the object extracted by the object extraction unit, a gamma correction unit configured to gamma-correct a gradation value of the taken image for each block by using a gamma value set for each block based on the object, and a boundary correction unit configured to correct the gradation value in a boundary area between adjoining blocks.

One or more processors may perform one or more lookup table (LUT)-based image processing operations on an input image to produce an output image, wherein performing the one or more image processing operations on the input image introduces one or more banding artifacts in the output image. The one or more processors may determine one or more sub-regions of the output image that include the one or more banding artifacts. The one or more processors may perform one or more artifact reduction operations on the one or more sub-regions of the output image without performing the one or more artifact reduction operations on remaining sub-regions of the output image.