1358 results about "Color transformation" patented technology

A multi-vision system includes chromaticity sensors for performing colorimetry of a plurality of display units. From colorimetry results obtained from the chromaticity sensors, a color conversion coefficient calculation unit inside a color calibration unit calculates the color conversion coefficient that is characteristic of each display unit. Calculated color conversion coefficients are stored in a color processing unit. The color calibration for this multi-vision system displays representing colors without a color conversion, and from colorimetry results of the representing colors for all the display units, a target color is decided automatically. For all display units, the color conversion coefficients are automatically calculated so that the representing colors are able to be displayed as a target color.

A video coding algorithm supports both lossy and lossless coding of video while maintaining high color fidelity and coding efficiency using an in-loop, reversible color transform. Accordingly, a method is provided to encode video data and decode the generated bitstream. The method includes generating a prediction-error signal by performing intra/inter-frame prediction on a plurality of video frames; generating a color-transformed, prediction-error signal by performing a reversible color-space transform on the prediction-error signal; and forming a bitstream based on the color-transformed prediction-error signal. The method may further include generating a color-space transformed error residual based on a bitstream; generating an error residual by performing a reversible color-space transform on the color-space transformed error residual; and generating a video frame based on the error residual.

A color mapping method is used in transforming colors between color imaging systems. The method includes using forward transformation profiles that characterize the color imaging systems to generate respective sets of device-independent color values for the color imaging systems. Color conversions are calculated by reducing differences between the respective sets of device-independent color values. Based on these color conversions, a color map is constructed that describes a relationship between the color imaging systems.

A color transforming device using brightness information of an image and a display device having the same are disclosed. The color transforming device includes a color transformation memory for storing coefficient information in order to process a color transformation of an input image based on brightness of the input image; and a color transformation processing unit for correcting a color of the input image by using the coefficient information stored in the color transformation memory and outputting the color corrected input image. The present invention provides a color transforming method suitable to a display device automatically controlling output brightness according to brightness of input image by performing a color transformation according to the brightness of input image. When the present invention is implemented to the PDP, color information of input image signal is accurately reproduced by performing the color transformation according to the APC level of input image.

A color space transformation matrix calculating system is provided that optimizes a color space transformation matrix. The matrix is obtained as a product of a first and a second matrix and transforms colors in a first color space to colors in a second color space. The system comprises first and second optimizers that calculate elements of the first matrix and second matrix by multiple linear regression analysis. The input colors which correspond to color patches and hue corrected colors obtained by using the first matrix and the input colors are set as explanatory variables. First and second goal colors respectively relating to hue and saturation in a second color space, and which correspond to the color patches, are set as criterion variables. The elements of matrices are set as partial regression coefficients.

The present invention includes a graphics software program that automatically generates a color scheme for graphics. In embodiments of the present invention, the graphics software program receives a selection of a color transformation and a semantic model describing a graphic. The graphics software program interpolates color values for different portions of the graphic according to the color transformation and semantic model. In other embodiments, a data structure is provided for a color transformation definition created to assign the color values to portions of the graphic.

An image forming apparatus includes: an image generating unit that reads an original and generates image data; a color-region input unit that inputs a color region subject to color matching in the image data; an object-color calculating unit that calculates an object color to which the color region is matched; a color-adjustment-condition setting unit that sets a plurality of color adjustment conditions on-which output of the object color under an image output condition is within an allowable color difference; a color-conversion-condition changing unit that selects one of the color adjustment conditions on which a color difference occurring in an entire color space is smallest, and that changes a color conversion condition; a color conversion unit that performs color conversion of the image data based on the changed color conversion condition; and an image output unit that outputs the image data subjected to the color conversion.

Disclosed is a color conversion member which is improved in the prevention of a deterioration in color conversion function, the prevention of reflection of external light, and color rendering properties. The color conversion member comprises a transparent substrate, two or more types of color conversion layers, and a color filter layer. The color conversion layers function to convert incident lights for respective pixels to outgoing lights of colors different from the incident lights. The two or more types of color conversion layers are arranged on said transparent substrate. The color filter layer is provided on the transparent substrate side of any one of the color conversion layers or between the above any one of the color conversion layers and the color conversion layers adjacent to the above any one the color conversion layers.

The invention discloses a driver fatigue detecting system based on a smart mobile phone. A video colleting module (1) collects images of the face and the eyes of a driver. An image preprocessing module (2) removes image noise through the gray scale adjustment of the image pixel points. A face detecting and locating module (3) achieves face detection and locating based on image pixel nonlinear color transformation. A face following module (4) improves the speed of detection of the face area of the driver through the correlation between every two adjacent images. An eye detecting module (5) conducts binarization on the images based on the improved horizontal Sobel edge detection method. An eye feature parameter extracting module (6) extracts the pupil opening degree feature parameters. A fatigue judging module (7) judges whether the driver is fatigue when driving a vehicle based on the PERCLOS method. According to the driver fatigue detecting system based on the smart mobile phone, the face detection is rapid, efficient and accurate, the requirement for the resolution is low, a camera of an ordinary mobile phone can achieve image collection and detection, popularization and application are convenient, cost is low, and the accuracy is high.

A method, apparatus, and article of manufacture provide the ability to process three-dimensional image data. A color transformation to be applied to image data is received from the user and concatenated with previous transformations. The concatenated transformations are applied to pixel values for the image data. Thereafter, the values of various parameters are evaluated to obtain and display updated pixel values. A matte may also be extracted and/or defined. For example, a reference color and various parameters may be obtained and used to calculate a transformation that transforms the reference color to an specified point (e.g., an origin) of the 3D space. The transformation may then be applied to each pixel so that each pixel is assigned a matte value according to its transformed values (and selected parameters), and therefore according to its position with respect to the specified reference color.

Printing image data is converted into image data for a proofer through a print condition conversion process for converting CMYK for printing into L*a*b*, a spot color reference process for converting a spot color name into L*a*b*, a printer condition conversion process for converting L*a*b* into RGB for proof, and a composition process for synthesizing a process color with a spot color.