To make it possible to search for a document of the same kind as that of a document relating to a scanned image both highly accurately and simply. An image processing apparatus including: a calculation unit configured to calculate a degree of similarity between an input document image and each of a plurality of document images by repeatedly performing calculation of a degree of similarity while changing each range including a specific area, which is a calculation target of a degree of similarity, in the input document image and the plurality of document images; and a determination unit configured to determine a document image whose calculated degree of similarity is the highest of the plurality of document images as a document image that matches with the input document image.

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.

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.

Provided is an image compression method of a digital pathology system. The image compression method is a method of compressing digital slide images having first to nth original plane images (n is a natural number greater than or equal to 2). The image compression method includes selecting a block having an optimal focal point as an optimal block from each set of blocks positioned at identical positions of the first to nth original plane images; forming one plane image as a virtual optimal plane image by combining only the optimal blocks; generating block descriptors for forming the first to nth original plane images based on the virtual optimal plane image; generating first to nth predictive plane images from the virtual optimal plane image such that the first to nth predictive plane images are out of focus and most similar to the first to nth original plane images by using location information for the blocks and the block descriptors; generating first to nth differential plane images, the first differential plane image corresponding to a difference between the first original plane image and the first predictive plane image and the nth differential plane image corresponding to a difference between the nth original plane image and the nth predictive plane image; and compressing the first to nth differential plane images.

A method, device and medium for enhancing saturation are provided. The method includes: obtaining image feature information of an image; identifying a type of the image according to the image feature information; selecting a saturation enhancement mode corresponding to the type of the image, and enhancing the saturation of the image using the saturation enhancement mode.

In an image data conversion device, color image data is represented in gray scale, a histogram of brightness values is created for the gray-scaled image data, it is determined based on the created histogram which image pattern of a plurality of image patterns the gray-scaled image data is classified into, a range subjected to gamma correction and a range fixed to at least one of a minimum value and a maximum value of gray scale are set for each image pattern, and image data conversion including the gamma correction is performed on the gray-scaled image data.

An apparatus includes an image generation unit configured to generate, from an input image, a hierarchical image including a plurality of images different in frequency band from one another, a first gain map generation unit configured to generate a first gain map with use of the hierarchical image and a first tone characteristic, a second gain map generation unit configured to generate a second gain map with use of the first gain map and a second tone characteristic, and a processing unit configured to apply the second gain map to the input image.

According to exemplary methods, a selection of a paper type for producing an image is received. A database of background suppression values associated with paper types is searched. Responsive to not finding a background suppression value associated with the paper type, the database is updated for the paper type. According to the method of updating, a page of the paper type is scanned and image data obtained by scanning the page is analyzed. Background luminance for the page is determined based on analyzing the image data. A background suppression value is calculated for the page based on the background luminance. The paper type and the background suppression value for the page are added to the database. The background suppression value is associated with the paper in the database.

An image reading apparatus that is capable of determining whether an original is a blank-paper original without stopping a reading operation. A feeding unit feeds an original to a read position. A read unit is equipped with a plurality of line sensors that read the original at the read position. An obtaining unit obtains dust-position information about dust adhering to the read position based on image information that is obtained by reading a guide member arranged corresponding to the read position with the read unit before reading the original. A determination unit determines whether the original is a blank-paper original using image information corresponding to pixels without being affected by the dust that is obtained by excluding image information corresponding to the dust-position information from image information read by the line sensors of the read unit.

A mobile terminal includes a memory, and a processor coupled to the memory, wherein the processor executes a process comprising acquiring a frame with taking a photograph, acquiring document image data of a document from the frame, detecting shine on the document image data, determining whether the shine is equal to or smaller than a shine baseline, and acquiring a frame with retaking a photograph when the shine is neither equal to nor smaller than the shine baseline.