1323 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 method and apparatus for automated cell analysis of biological specimens automatically scans at a low magnification to acquire images which are analyzed to determine candidate cell objects of interest. The low magnification images are converted from a first color space to a second color space. The color space converted image is then low pass filtered and compared to a threshold to remove artifacts and background objects from the candidate object of interest pixels of the color converted image. The candidate object of interest pixels are morphologically processed to group candidate object of interest pixels together into groups which are compared to blob parameters to identify candidate objects of interest which correspond to cells or other structures relevant to medical diagnosis of the biological specimen. The location coordinates of the objects of interest are stored and additional images of the candidate cell objects are acquired at high magnification. The high magnification images are analyzed in the same manner as the low magnification images to confirm the candidate objects of interest which are objects of interest. A high magnification image of each confirmed object of interest is stored for later review and evaluation by a pathologist.

A system and method for digital hair coloring is described. A starting image of a subject including a hair region is obtained. At least one foreground selection of the starting image is obtained, the foreground selection including a portion of the hair region. At least one background selection of the starting image excluding the hair region is obtained. A matte defining a calculated foreground area of the starting image is calculated based on the foreground selection and the background selection. A target color distribution based on a target hair color is obtained. A color image is generated by applying a color transformation based on the target color distribution to at least the calculated foreground area of the starting image. An output image is generated from the colored image and the starting image.

A system is configured to calculate an evaluation index of sample ink amount data from a color difference evaluation index and an image quality evaluation index and create a profile on the basis of a sample with a high rating value. When the image quality evaluation index is predicted, the image quality evaluation index corresponding to any sample ink amount data is estimated based on a profile produced on the basis on actual evaluation. A printer driver is configured to create a plurality of profiles by using different indices in this system and to perform color conversion by using the plurality of profiles. The plurality of profiles are appropriately selected according to the user's needs, printing conditions, and type of printing object image.

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.

A color-conversion structure includes an article comprising a color-conversion material disposed within a color-conversion layer. At least a portion of a tether is within or extends from the article. The color-conversion structure can be disposed over a sacrificial portion of a substrate to form a micro-transfer printable device and micro-transfer printed to a display substrate. The color-conversion structure can include an light-emitting diode or laser diode that is over or under the article. Alternatively, the article is located on a side of a display substrate opposite an inorganic light-emitting diode. A display includes an array of color-conversion structures disposed on a display substrate.

A color conversion module 42 carries out color conversion of original color image data Grgb from the RGB color system into the CMYK color system to obtain color-converted original color image data Gcmyk (step S104). A DCT module 44 applies DCT (discrete cosine transform) over the whole color-converted original color image data Gcmyk to generate DCT coefficients Dcmyk (step S106). An embedding module 46 embeds the watermark information s into the components C, M, Y, and K of the DCT coefficients Dcmyk (step S108). An IDCT module 48 applies IDCT (inverse discrete cosine transform) onto DCT coefficients D'cmyk with the watermark information s embedded therein to generate embedding-processed color image data G'cmyk (step S110). The color conversion module 42 carries out color conversion of the embedding-processed color image data G'cmyk from the CMYK color system into the RGB color system to obtain embedding-processed color image data G'rgb (step S112). This arrangement does not require any correction of the position or the shape of image blocks in the process of extracting the embedded watermark information.

A color gamut compression apparatus for converting a source color generated by an information-input apparatus into a target color inside a color gamut reproducible by an information-output apparatus. The color gamut compression apparatus computes a point of compression such that the point of compression lies on a substantially straight line connecting a point of convergence and a source color, and lies inside the color gamut of the information-output apparatus.

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 of transforming the color appearance of a plurality of digital images includes receiving a plurality of digital images from a capture medium wherein each digital image includes a plurality of pixel values relating to at least three basic colors; calculating a color correction transform by using a non-linear adjustment that is independent of the digital images and which corrects an under-exposure condition as a function of the capture medium; and a linear functional relationship dependent upon the pixels of the basic colors, the linear functional relationship defining an exposure-level-dependent estimate of gray corresponding to the photographic response of the capture medium; and using the color correction transform to modify the pixels of the plurality of digital images wherein the pixels within a digital image are transformed with varying degrees of color modification as a function of exposure.

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.

Tissue information of a desired deep portion of a biological tissue based on a spectral image obtained from signal processing is adjusted to image information in a color tone suitable for observation. Outputs of a matrix computing section 436 are respectively connected to integrating sections 438a to 438c, and after integrating computation is performed for them, color conversion computation is performed for respective spectral image signals ΣF1 to ΣF3 in a color adjusting section 440, spectral color channel image signals Rch, Gch and Bch are created from the spectral image signals ΣF1 to ΣF3, and images of the spectral color channel images Rch, Gch and Bch are sent to a display monitor 106 via a switching section 439.