81 results about "SRGB" patented technology

This invention is an image information processing apparatus for converting image data coded in a standard color space to data suitable for an image device to which the image data should be outputted. In an image processing unit (40), data color-corrected for each output device by a color image device correction processing unit (41) is converted to output reference color space data such as e-sRGB or e-sYCC, a directory is prepared in a flash memory (50) by a data saving processing unit (42), and the data corrected to each image device is saved into the prepared directory. Thus, when using the image data coded in the standard color space, an image data group converted to color characteristics suitable for specific purposes is efficiently managed.

Systems and methods are provided for color management in connection with a variety of computing devices having different color display characteristics. The X11 graphics platform is augmented to support color management systems, such as ICC, sRGB and scRGB, which begin and end with device dependent colors. CMYK color spaces as well as extended RGB color spaces within X11r6 are also supported, thus extending the X11r6 graphics platform to support any modem color management standard.

To record a video signal on a recording medium so that a reproducing apparatus can faithfully reproduce an original color of the recorded video signal.

A user can specify either a sRGB color space or an extended sRGB color space as the color space of the video signal to be recorded. A signal processing unit 131 generates a video signal (luminance signal Y and color-difference signal Cb/Cr) corresponding to the specified color space. An encoding/decoding unit 132 performs data compression on the video signal in accordance with the MPEG4-AVC standard to generate a compressed video signal to be recorded on a recording medium 135. A CPU 121 is configured to generate a color space identifier including information indicating the color space specified by the user and is configured so that an access unit including an SPS NAL unit in the compressed video signal includes an SEI NAL unit in which the color space identifier is stored. The video signal recorded on the recording medium 135 is a signal to which a color space identifier having information for a color space of that video signal is added.

When displaying an image with at least four primary colors mixed, there are provided a primary color B generating unit (1036) having, as an xy chromaticity, (x, y)=(0.150, 0.060) and generating a primary color B lowest in luminance, a primary color G generating unit (1038) having, as an xy chromaticity, (x, y)=(0.300, 0.600) and generating a primary color G highest in luminance, and a primary color R generating unit (1037) having, as an xy chromaticity, (x, y)=(0.640, 0.330) and generating a primary color R higher in luminance than the primary color B and lower in luminance than the primary color G, whereby it is possible to expand a color gamut while ensuring compatibility with 3-primary-color image signal by allowing three primary colors to agree with the primary color Rec. 709 of a standard display sRGB.

Disclosed is a color liquid crystal display (LCD) apparatus employing a transmissive color liquid crystal display panel. The apparatus includes, as a light source, a main white light source (21) having a three wavelength phosphorescent lamp emitting light with three or more wavelengths, and an auxiliary light source (22) having at least one of a red light emitting diode (22R), a green light emitting diode (22G) and a blue light emitting diode (22B). The red light emitting diode emits red light with a peak wavelength λpr=645 nm, the green light emitting diode emits green light with a peak wavelength λpg=555 nm and the blue light emitting diode emits blue light with a peak wavelength λpb=440 nm. The light sources act for completely covering the color reproducing range of the sRGB standard and further enlarging respective color ranges.

The system for selecting a best device for rendering a color document involves first determining the types of color data included in the color document to be printed. Once the type of color data has been determined, the color characteristics are matched against the strengths of the available output devices to obtain a list of devices best suited for this particular color print job. At least one device from the list of best devices is selected and the color document is rendered onto the selected device. Preferably, the types of color data involved are determined by the mix of defined colorimetry and undefined colorimetry in the color document. Alternatively, the types of color data are determined by analyzing the colorspaces in the document (i.e., RGB, CMYK, LAB, XYZ, etc.), and the embedded profiles, if any, in the document (e.g., sRGB, SWOPCMYK, Euroscale). In the instance wherein a number of devices match the criteria for selection, only those devices which honor embedded color profiles are selected for documents containing embedded profiles. Alternatively, only those devices are selected that produce a consistent rendering across multiple color spaces and profiles for documents with a mix of color spaces and profiles. Selecting the best device may also depend on whether the type of print job is considered to be Job-Balancing or Job-Splitting. With Job-Balancing, at least one of the metrics is used: (i) Intersection Gamut Volume, (ii) Gamut Similarity, or (iii) Mismatch Between Document Colors and Intersection Gamut for device selection. With Job-Splitting, at least one of these metrics are used: (i) Individual Gamut Volume, or (ii) Mismatch Between Document Colors and Device Gamut. Colorimetric definition of the selected colors can be retrieved from either an embedded source profile or by default and mapping the colors to the output gamut.

When an sRGB color space and an wRGB color space have a common white point in a device-independent color space, the CPU 31 of a color printer 20 eliminates deviation of the white points of the two color spaces occurring when a color value of the sRGB color space has been converted to a color value of the wRGB color space using a matrix operation L, by correcting the coefficients of matrix L. As a result of correction a matrix L′ is obtained. CPU 31 executes gamma correction on the RGB color space color value obtained by a matrix operation S, and then executes matrix operation L′. CPU 31 executes inverse gamma correction on the color value obtained by a matrix operation L′.

When a selected target color space for a digital camera is changed, the colors of a final image, i.e., the colors of an image in the changed target color space, are predicted from an image that is displayed on a display unit of the digital camera. For example, if the target color space is changed to an sRGB color space and the display unit has an AdobeRGB color space, then an image in the target color space (the sRGB color space), which is generated from a captured image by a signal processor, is converted by a matrix calculator into an image in the AdobeRGB color space, and then the image is supplied to the display unit. Hence, the colors of the final image can be predicted from the colors of the image displayed on the display unit.

A display device capable of expressing a particularly superior red color, for example, a red color of the sRGB standard, is provided. A display device 1 is composed of a red fluorescent body in which the red chromaticity point (x_R, y_R) satisfies x_R≧20.640 and y_R≦0.330, and a green fluorescent body.

A method and apparatus for converting an input color space into a CMYK color space are provided. The method includes converting a color signal of a predetermined input color space into an sRGB color space, converting the color signal of the sRGB color space into an sRGB L*a*b* color space, and converting the color signal of the sRGB L*a*b* color space into a color signal of a printer-output CMYK color space (CMYKPrinter) using a lookup table.

The processing of RGB image data can be optimized by performing optimization operations on the image data when it is converted into the YCbCr color space. First, a raw RGB color space is converted into a YCbCr color space, and raw RGB image data is converted into YCbCr image data using the YCbCr color space. For each Y-layer of the YCbCr image data, a 2D LUT is generated. The YCbCr image data is converted into optimized CbCr image data using the 2D LUTs, and optimized YCbCr image data is generated by blending CbCr image data corresponding to multiple Y-layers. The optimized YCbCr image data is converted into sRGB image data, and a tone curve is applied to the sRGB image data to produce optimized sRGB image data.

The present invention discloses a translation evaluation based optimized spectrum image data fusion method, and belongs to the technical field of hyper spectrum image data fusion. The method of the present invention includes the steps: firstly classifying pixel vectors of a data matrix to obtain a class matrix; using a dimensionality reduction and projection matrix with changed principal components of the class matrix to project the data matrix for obtaining a dimensionality reduction data matrix; then assigning the dimensionality reduction data matrix to black and white, red and green, and yellow and blue channels to a coloring matching space for conversion into an sRGB color space to obtain color component data of the R, G, and B channels; comprehensively evaluating serial digital images to obtain an optimal translation amount of each channel through translation mapping of the color component data; and finally using three optimal translation amounts to respectively translate and map the color component data of each channel to obtain a fusion result image. An optimal translation amount fusion method is utilized to obtain a pseudo-color fusion image of high luminance, increases the contrast and color distinction degree of the image, and facilitates rapid identification of a target by human eyes from a complex background.

The invention discloses a Raw domain video denoising supervision data set construction method. The method comprises the steps that 1, modeling Raw domain noise into Poisson-Gaussian mixed noise; 2, shooting a Flat-field frame and a Bias frame, and correcting parameters of the noise model under a specified ISO; 3, performing ISP simulation and inverse ISP simulation, visualizing a raw image, generating a corresponding sRGB domain video image, and converting the sRGB domain video image into a raw domain video image; and 4, preparing data sets, including a synthetic noise simulation data set anda real Raw domain video data set. Compared with the prior art, the Raw domain video denoising supervision data set construction method can be used for simulating Raw domain noise, can be used for constructing a large amount of clean-noise paired Raw domain video data, and supports Raw domain video denoising work.

A liquid crystal display includes a signal controller having a luminance controller receiving image data from an external graphic source and controlling the luminance of the image data such that the luminance at the gray expressed by a specific data value of the image data is established to be 80 cd/m², and a gamma converter outputting image data each having a gamma characteristic adapted to the gamma 2.2 curve. The liquid crystal display further includes a data driver receiving the image data from the signal controller and selecting and outputting gray voltages corresponding to the image data, and an inverter controlling a lamp such that the lamp emits light with a luminance of 80 cd/m² or more. With the liquid crystal display, the luminance of a backlight is determined to be a specific value larger than 80 cd/m², and the luminance of the input image data is controlled such that the luminance of the image data at the specific data value is established to be 80 cd/m². Furthermore, the gamma characteristic of the image data RGB is converted to be adapted to the gamma 2.2 curve required for the sRGB color space. In this way, the sRGB mode is realized with the liquid crystal display.

In the image reading apparatus, reference color patches used to determine the necessity of calibration are read, and the read image for the reference color patches is stored. The read image is converted using a color conversion function from data for a device-dependent RGB space to sRGB data for a standard color space to obtain sRGB reference image data. The converted read image and the sRGB reference image are displayed on a CRT. An operator compares the two images and performs an entry operation for executing calibration if the amount of displacement between the two is significant.

A color conversion apparatus and a method of color conversion are described for converting a first color in a first color space to a second color in a second color space. The color conversion apparatus includes a plurality of lookup tables storing color mappings relating the first color space to the second color space and a converter using the lookup tables to convert the first color to the second color. The first color space is the sRGB color space and the second color space is a device dependent color space, or vice versa. To reduce the table size, tables having little effect on the second color contain groups of input colors mapping to a same output color and are implemented with a memory having the address inputs connected to the upper most significant bits of an incoming color value. A gamma correction circuit is used to calculate the remaining tables.

The invention discloses a segmentation method for SAR (Synthetic Aperture Radar) sea ice images. The segmentation method is mainly used for solving the problem that segmentation results cannot actually reflect the distribution condition of earth surface sea ice due to the fact that the SAR sea ice images are severely affected by coherent speckle noises. The segmentation method comprises the implementation procedures: (1) filtering the SAR sea ice images by adopting a two-sided filter; (2) carrying out initialized segmentation by adopting improved edge weight computation model and intra-regional differences; (3) constructing a regional MRF model based on an initialized segmentation structural element region adjacency graph; (4) integrating an inter-regional intensity difference penalty function into MRF; (5) erasing edge pixels, thereby obtaining a final segmentation result. According to the segmentation method, the performance of segmentation of the SAR sea ice images is remarkably improved.

The invention relates to a color visual colorimetric measuring method based on digital coloring colorimetric cards. The digital coloring colorimetric cards are established based on a color display device in a sRGB coloring space by adopting the digital coloring technology. Each color sample in the colorimetric cards is composed of a color lump displayed by a display device; the color gamut of the colorimetric cards is flexibly set according to the needs; in the set color gamut; each color lump is generated according to the certain interval of coloring numerical value; all the generated color lumps are combined in sequence according to a certain discipline, so as to form a digital coloring colorimetric card system which has a plurality of groups, multiple levels and color classification from rough to fine, can echo mutually by linking and is convenient to search and use. The different gamuts can be formed by delimiting, namely, different color sample group can be generated, so as to be suitable for the color measurement in different hue range; as the interval of the coloring numerical value is adjusted, the number of the color sample group also changes, so as to be suitable for the requirements of different finenesses when in color measurement.