An image processing apparatus includes a corrector configured to provide a color correction based on a reference image selected from a plurality of color images having different polarization states acquired by changing a retardation provided to light from an object, for a synthesized image generated with polarization information of the object obtained from the plurality of color images.

An information processing device according to the present invention includes: a proper identifier output unit which outputs proper identifiers for identifying learning images; a feature vector calculation unit which calculates feature vectors of at least a part of patches included in registered patches that are registered in a dictionary for compositing a restored image; and a search similarity calculation unit which calculates a similarity calculation method that classifies the proper identifiers to be given to the registered patches based on the feature vectors.

Provided is an information processing system configured to: receive a plurality of images; select a standard image; search, in extracting partial images for complementing a too bright region/too dark region in the standard image from a reference images, using correction images obtained by subjecting each of the images to multivalued processing for each division of luminance components, for regions having matching shapes of respective regions included in the correction image of the standard image and the correction images of the other images; and complement image portions corresponding to the too bright region and/or too dark region in the correction image of the standard image using image portions, which are matching regions and correspond to appropriately bright regions, to thereby generate a synthetic image. Each image is dividable into at least three values: a too bright region, an appropriately bright region, and a too dark region, and has a relationship in which a boundary luminance between the too bright region and the appropriately bright region aligns with a boundary luminance between the appropriately bright region and the too dark region in a darker image having an adjacency relationship therewith.

An object of the present disclosure is to reduce the load of a user in a case where multiplexed information is embedded in an image. One embodiment of the present invention is an image processing apparatus having: a recognition unit configured to recognize an object within an image; a selection unit configured to select additional information corresponding to an object recognized by the recognition unit from among additional information stored in a storage unit; and a layout unit configured to lay out the additional information so that at least a part of an area in which additional information selected by the selection unit is embedded overlaps an area of an object recognized by the recognition unit.

An image forming method includes: determining a number of copies; obtaining an original image including an object of a paper piece; detecting a paper piece size, the paper piece size being a size of the object of the paper piece included in the original image; clipping the object of the paper piece having the paper piece size from the original image to generate a paper piece image; and arranging the paper piece images of the number of copies on a printable area of one or more pages based on a printable size and the paper piece size and add a guide image to generate a reconfigured image, the printable size being a size of the printable area, the guide image being an image of a guide for dividing the paper piece images of the number of copies.

An image processing apparatus includes: an image acquisition unit configured to acquire a plurality of image data obtained by imaging a same subject; a saturation enhancement unit configured to execute saturation enhancement processing of enhancing saturation of at least a partial area of each of the plurality of image data; and a composite image generation unit configured to compare corresponding areas in the plurality of image data after the saturation enhancement processing to select an area having the highest saturation, and execute composition processing of generating composite image data formed of the selected area.

There is provided with an image processing apparatus. An acquisition unit acquires a first image captured with visible light and a second image captured with non-visible light. A correction unit corrects luminance of the second image so as to bring luminance distribution of the second image close to luminance distribution of the first image. A generation unit combines the second image whose luminance is corrected by the correction unit and chromaticity information of the first image to generate a composite image.

There is provided an information processing apparatus that is capable of generating image data including the original image data, which reflects the geometric features of the original image data, the information processing apparatus including: an acquisition unit and a generation unit. The acquisition unit acquires geometric feature information extracted by analyzing first image data. The generation unit generates second image data and third image data, the second image data being generated on the basis of the geometric feature information, the third image data including a first area and a second area, corresponding image data being placed in the first area, the corresponding image data corresponding to the first image data, the second image data being placed in the second area.

Example implementations relate to emulating 3D texture patterns in a printer system. One example implementation determines a 3D texture pattern data having a number of pattern pixels at different heights and associated with respective surfaces of a corresponding 3D texture pattern. Luminance change data is determined for each pattern pixel depending on an angle between a normal vector of the respective surface and a simulated light vector. Image data is obtained having a number of image pixels and the luminance of each image pixel is adjusted depending on the luminance change data of a corresponding pattern pixel in order to generate an image with an emulated 3D texture pattern.

Provided is an image processing device including an acquisition unit configured to acquire a first image data that is captured based on visible light and a second image data that is captured based on infrared light, a composition coefficient calculating unit configured to calculate a composition coefficient based on the second image data and a third image data including a luminance information that is extracted from the first image data, and a composition unit configured to calculate a fourth image data by a weighted addition of the second image data and the luminance information by using the composition coefficient.