A method of converting 10-bit pixel data (e.g. 10:10:10:2 data) into 8-bit pixel data involves converting the 10-bit values to 7-bits or 8-bits and generating error values for each of the converted values. Two of the 8-bit output channels comprise a combination of a converted 7-bit value and one of the bits from the fourth input channel. A third 8-bit output channel comprises the converted 8-bit value and the fourth 8-bit output channel comprises the error values. In various examples, the bits of the error values may be interleaved when they are packed into the fourth output channel.

A signal processing method is performed by a computer. The signal processing method includes: obtaining first compressed image data including hyperspectral information and indicating a two-dimensional image in which the hyperspectral information is compressed, the hyperspectral information being luminance information on each of at least four wavelength bands included in a target wavelength range; extracting partial image data from the first compressed image data; and generating first two-dimensional image data corresponding to a first wavelength band and second two-dimensional image data corresponding to a second wavelength band from the partial image data.

An image encoding method includes a color difference signal Cr corresponding to a first pixel and a color difference signal Cb corresponding to a second pixel that are determined based on a pixel value of the first pixel, a pixel value of the second pixel, and pixel values of a third pixel and a fourth pixel that are adjacent to the first pixel. Then, an average value Co of the color difference signal Cr corresponding to the first pixel and the color difference signal Cb corresponding to the second pixel, and a difference value Cg between the color difference signal Cr and the color difference signal Cb are determined.

An example embodiment may involve obtaining an input pixel map of a digital image containing an array of a×b pixel macro-cells; classifying each of the a×b pixel macro-cells as P class cells for substantially lossless compression or Q class cells for lossy compression; creating a first intermediate pixel map representing: the P class cells as is, and the Q class cells with all zero values; creating a second intermediate pixel map representing: the P class cells with all zero values, and the Q class cells as is; encoding the first intermediate pixel map into a first output stream by using substantially lossless compression; and encoding the second intermediate pixel map into a second output stream by: downsampling the P class cells and the Q class cells therein, and serializing representations the downsampled cells.

An image processing system includes an image source apparatus, an image processing apparatus and a target apparatus. The image processing apparatus includes an image capturing unit, a mode determining unit and an image compression unit. The image capturing unit captures an image provided by the image source apparatus and divides it into blocks. The mode determining unit, coupled to the image capturing unit, includes compression modes. The mode determining unit receives a first block of the blocks, and a classification model in the mode determining unit analyzes the first block, and based on the analysis result, selects a first compression mode for the first block from the compression modes. The image compression unit, coupled to the image capturing unit and the mode determining unit, compresses the first block into a first compressed block according to the first compression mode and transmits the first compressed block to the target apparatus.

The disclosure relates to a method for compressing in a packed data set a color image comprising color image samples arranged in a reference grid according to a sampling pattern, and comprising the steps of (a) performing a decorrelative transform providing component images, (b) performing a number of discrete wavelet decompositions on said component images and (c) forming packets in the packed data set by processing each consecutive line in the reference grid and each component and grouping all samples of said component in said line in one or more packets, and appending said one or more packets to the packed data set. The disclosure also relates to a device for compressing, a computer program for compressing, a method for decompressing, a device for decompressing, and a computer program for decompressing. The disclosure also relates to the packed data set produced by said method for compressing.

An imaging apparatus includes an imaging optical system that forms an optical signal, an imaging device that includes a plurality of pixels and that converts the optical signal formed on the plurality of pixels into an electrical signal, a color filter that is arranged between the imaging optical system and the imaging device and that has a different optical transmittance for each of the plurality of pixels and each of a plurality of wavelength ranges, and a transmission data compression circuit that compresses the electrical signal obtained by the imaging device. The sum of products of an optical transmittance group relating to a plurality of optical transmittances of the color filter for each of the plurality of pixels in the plurality of wavelength ranges and coefficients common to the plurality of pixels is the same between the plurality of pixels.

An image processing apparatus includes an input unit configured to receive first material appearance data representing a material appearance of an image, a material appearance mapping unit configured to convert the first material appearance data into second material appearance data corresponding to a material appearance reproducible by a material appearance reproducing apparatus, and a conversion unit configured to convert the second material appearance data into control data for reproducing the material appearance of the image using the material appearance reproducing apparatus. The first material appearance data includes a gloss signal corresponding to a specular gloss and a gloss signal corresponding to an image clarity.

According to this method, the mapping color LUT has input colors that sample not only a source color gamut (included in an input encoding color space in which inputs colors of this LUT are encoded) but also a portion of the input encoding color space which is not included in the source color gamut. Preferably, this color LUT further includes output colors located outside the target color gamut. Accuracy of the mapping is improved, notably for source colors located near the boundary of the source color gamut.

An image forming system includes: an image-data transmission unit that transmits image data; and an image-data receiving unit that receives the image data, the image-data transmission unit being connected to the image-data receiving unit through a transmission path having lanes used for a color machine, at the time of image data transmission, the image-data transmission unit adding an error check code to image data, and transmitting the image data to the image-data receiving unit, in a first unit of the image data, the image-data receiving unit calculating an error check code in the first unit, comparing the calculated error check code with the error check code transmitted, and when the calculated error check code disagrees with the error check code transmitted, transmitting an error to the image-data transmission unit, and when the image-data transmission unit receives the error, the image-data transmission unit retransmitting image data corresponding to the error.