Provided are a control apparatus, an image processing method and a non-transitory recording medium. The control apparatus includes a raster-image processor and a hardware processor that judges whether each of multi-valued pixels forming a source image is colored in one of specific colors, controls the amount of color materials to be used in printing the source image together with a white base, by reducing pixel values of the multi-valued pixels forming the source image and the white base, and converts the multi-valued pixels into two-valued pixels corresponding to colors of the color materials of the source image and two-valued white pixels. The hardware processor uses a matrix of two-valued white pixels corresponding to each of the multi-valued pixels judged as being colored in one of the specific colors, to rearrange at least one of colored two-valued white pixels at colored or uncolored pixel positions in the matrix.

A system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.

A portable computing device equipped with at least one image capture device and/or a light source captures an image (or a video) of a portion of a surface of interest having the damage that is exposed to a light from the light source. The portable computing device converts the image to an output image that highlights the damage. If the damage is a dent, the image is converted to a false color image using a saliency algorithm. If the damage is a scratch, the image is converted to a colorspace stretched image using color stretching algorithms. The size of the damage is determined by capturing an image of a ruler placed adjacent to the damage and the portion of surface of interest having the damage. The ruler is then removed from the image. The resulting image is converted to the output image. The ruler is added to the output image.

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.

Provided are a display device and an image processing method thereof. In an embodiment, the display device includes a display panel including a plurality of pixels formed of red, green, blue, and white sub pixels, and an image processing unit for converting a three-color input image supplied to the red, green, blue, and white sub pixels into four-color image data and outputting an output image by applying a final gain calculated using a frame gain, a pixel gain, and a block gain of the pixels. The display device also includes a timing controller for outputting the output image from the image processing unit to the display panel. The block gain may be calculated using scaled versions of luminance values determined by converting a luminance of the three-color input image and position information of the pixels.

An image processing apparatus includes a skin area extraction unit that extracts a skin area from image data, a chromaticity computation unit that computes hue information and saturation information of the skin area, a hue conversion unit that converts the hue information so that the hue information is in agreement with target information, a reception unit that receives a change instruction to change the saturation information, a parameter determination unit that determines a conversion parameter based on the change instruction, and a saturation conversion unit that converts the saturation information based on the conversion parameter.

A method of operating a three-dimensional object printer to form printed images on a surface of an object with increased color resolution includes generating a plurality of low-precision tone reproduction curves (TRCs) from a plurality of high-precision color conversion entries that are modified by a plurality of values in a one-to-one correspondence to the TRCs. The method further comprises generating modified contone image and halftone image data for each plane using one of the low-precision TRCs and forming the image from multiple printed layers of ink corresponding to the plurality of planes.

A system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.

A method includes: displaying a first interface; obtaining a brightness parameter; obtaining a first image stream, wherein the first image stream is an image stream of first color space; determining, based on the ambient brightness, to perform first target processing and/or second target processing on the first image stream to obtain a fifth image stream, wherein the first target processing comprises first image processing, the first image processing is used to convert the first image stream into second color space, the second target processing comprises second image processing and third image processing, the second image processing comprises downsampling and image enhancement, and the third image processing is used to convert an image stream obtained after the second image processing into the second color space; and displaying and/or storing the fifth image stream.

Provided are a control apparatus, an image processing method and a non-transitory recording medium. The control apparatus includes a raster-image processor and a hardware processor that judges whether each of multi-valued pixels forming a source image is colored in one of specific colors, controls the amount of color materials to be used in printing the source image together with a white base, by reducing pixel values of the multi-valued pixels forming the source image and the white base, and converts the multi-valued pixels into two-valued pixels corresponding to colors of the color materials of the source image and two-valued white pixels. The hardware processor uses a matrix of two-valued white pixels corresponding to each of the multi-valued pixels judged as being colored in one of the specific colors, to rearrange at least one of colored two-valued white pixels at colored or uncolored pixel positions in the matrix.