2255 results about "Color space" patented technology

A face detection and/or detection method includes acquiring a digital color image. An active appearance model (AAM) is applied including an interchannel-decorrelated color space. One or more parameters of the model are matched to the image. Face detection results based on the matching and/or different results incorporating the face detection result are communicated.

A methodology for forming a composite color image fusion from a set of N gray level images takes advantage of the natural decomposition of color spaces into 2-D chromaticity planes and 1-D intensity. This is applied to the color fusion of thermal infrared and reflective domain (e.g., visible) images whereby chromaticity representation of this fusion is invariant to changes in reflective illumination.

A computer implemented method to extract a selected subject from its background, by removing the background, including that portion of the background visible through semi transparent areas of the subject, and generating a matte signal containing a record of background levels outside of and within semitransparent subject areas. The observed RGB signal levels of a pixel in the semitransparent transition between a subject and its background, are a mixture of color contributed by the subject, and by the background. The estimated subject color, and the estimated background color, and the observed color of a transition pixel (pixRGB), may be shown as three points in a three dimensional color space.

A moving picture coding/decoding method and apparatus with improved coding efficiency. A moving picture coding method includes selecting a color space from among a plurality of color spaces, selecting a prediction mode to be commonly applied to all the color components constituting the selected color space, generating first residual data corresponding to differences between a current picture and a predicted picture for each of the color components according to the selected prediction mode, generating second residual data corresponding to differences between the first residual data, and coding the second residual data.

An image without use of a flash is taken, along with an image using a flash. A difference image is generated by subtracting the flash-less image from the flash image. A threshold is applied to the difference image such that only large differences in intensity remain in the difference image. This artifact image is then subtracted from the flash image, thereby removing flash artifacts such as specular reflections and red-eye. The threshold used may be automatically calculated or may be set by the user. For some applications it may be desirable to set separate thresholds for each dimension of the color space (such as red, green, and blue) used. Once again these separate thresholds may be automatically calculated or may be set by the user.

An apparatus and method for image data compression performs a modified zero-tree coding on a range of image bit plane values from the largest to a defined smaller value, and a vector quantizer codes the remaining values and lossless coding is performed on the results of the two coding steps. The defined smaller value can be adjusted iteratively to meet a preselected compressed image size criterion or to meet a predefined level of image quality, as determined by any suitable metric. If the image to be compressed is in RGB color space, the apparatus converts the RGB image to a less redundant color space before commencing further processing.

A system and method implemented as a software tool for generating alpha matte sequences in real-time for the purposes of background or foreground substitution in digital images and video. The system and method is based on a set of modified Poisson equations that are derived for handling multichannel color vectors. Greater robustness is achieved by computing an initial alpha matte in color space. Real-time processing speed is achieved through optimizing the algorithm for parallel processing on the GPUs. For online video matting, a modified background cut algorithm is implemented to separate foreground and background, which guides the automatic trimap generation. Quantitative evaluation on still images shows that the alpha mattes extracted using the present invention has improved accuracy over existing state-of-the-art offline image matting techniques.

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.

Provided is photo retouching software which is easy for photo studio personnel to use. Upon opening photo image(s), special photo retoucher 11 converts photo image data thereof to working color space image data. At such time(s), if working ICC profile(s) is/are set which is/are different from ICC profile(s) previously embedded in such photo image file(s), color perceptual matching is carried out on the photo image data thereof based on such embedded ICC profile(s) and working ICC profile(s) when such photo image file(s) is/are opened. Furthermore, when such photo image(s) is/are displayed at monitor(s), such image data is converted to monitor color space image data through color matching using working ICC profile(s) and monitor ICC profile(s).

Shaped glasses have curved surface lenses with spectrally complementary filters disposed thereon. The filters curved surface lenses are configured to compensate for wavelength shifts occurring due to viewing angles and other sources. Complementary images are projected for viewing through projection filters having passbands that pre-shift to compensate for subsequent wavelength shifts. At least one filter may have more than 3 primary passbands. For example, two filters include a first filter having passbands of low blue, high blue, low green, high green, and red, and a second filter having passbands of blue, green, and red. The additional passbands may be utilized to more closely match a color space and white point of a projector in which the filters are used. The shaped glasses and projection filters together may be utilized as a system for projecting and viewing 3D images.

Techniques are provided to encode and decode image data comprising a tone mapped (TM) image with HDR reconstruction data in the form of luminance ratios and color residual values. In an example embodiment, luminance ratio values and residual values in color channels of a color space are generated on an individual pixel basis based on a high dynamic range (HDR) image and a derivative tone-mapped (TM) image that comprises one or more color alterations that would not be recoverable from the TM image with a luminance ratio image. The TM image with HDR reconstruction data derived from the luminance ratio values and the color-channel residual values may be outputted in an image file to a downstream device, for example, for decoding, rendering, and/or storing. The image file may be decoded to generate a restored HDR image free of the color alterations.

A foreground color for a digital image is automatically determined by dividing the colors of the pixels of at least a part of the digital image into a number of color clusters in a color space, and for at least one cluster selecting a color being related to the at least one color cluster according to predetermined criteria.

Improved fluoresced imaging (FI) and other sensor data imaging processes, devices, and systems are provided to enhance display of different secondary types of images and reflected light images together. Reflected light images are converted to a larger color space in a manner that preserves the color information of the reflected light image. FI or secondary images are transformed to a color range within the larger color space, but outside the color area of the reflected light images, allowing the FI or secondary images to be combined with them in a manner with improved distinguishability of color. Hardware designs are provide to enable real-time processing of image streams from medical scopes. The combined images are encoded for an electronic display capable of displaying the larger color space.

Device and method for converting a format of a video signal in a digital TV receiver is provided. Format conversion can be carried out at one chip of a format converting device, inclusive of conversion of resolution, frame rate, scanning method, aspect ratio, color space, chroma format, and gamma correction. Therefore, the digital TV receiver is made to convert a wide range of video signals inclusive of, not only a digital TV broadcasting signal, but also analog TV broadcasting signal, and computer video signal, at one chip of system block. Moreover, the digital TV receiver is made to provide a variety of standards of format converted video signals, not only to the connected display, but also to other general video signal processing devices.

An image recognition apparatus operates on data of a color image to obtain an edge image expressing the shapes of objects appearing in the color image, the apparatus including a section for expressing the color attributes of each pixel of the image as a color vector, in the form of a set of coordinates of an orthogonal color space, a section for applying predetermined arrays of numeric values as edge templates to derive for each pixel a number of edge vectors each corresponding to a specific edge direction, with each edge vector obtained as the difference between weighted vector sums of respective sets of color vectors of two sets of pixels which are disposed symmetrically opposing with respect to the corresponding edge direction, and a section for obtaining the maximum modulus of these edge vectors as a value of edge strength for the pixel which is being processed. By comparing the edge strength of a pixel with those of immediately adjacent pixels and with a predetermined threshold value, a decision can be reliably made for each pixel as to whether it is actually located on an edge and, if so, the direction of that edge.

The invention provides a method for transforming an image from a Low Dynamic Range (LDR) image obtained with a given camera to a High Dynamic Range (HDR) image, the method comprising:

• • obtaining the exposure-pixel response curve (21) for said given camera
  • converting the LDR image to HSB color space arrays (22), said HSB color space arrays including a Hue array, a Saturation array and a Brigthness array; and
  • determining a Radiance array (23, 24) by inverse mapping each pixel in said Brightness array using the inverse of the exposure-pixel response curve (f-1).

Systems, methods, and program products for subjective and locatable color theme extraction for images. Determining a color density for each of a plurality of colors in an image where each of the plurality of colors belongs to a color space, extracting one or more distinct theme colors from the plurality of colors based on qualitative parameters and the determined color densities, and mapping each extracted theme color to a color occurring in the image where the mapping is based on a color distance between the theme color and colors occurring in the image.

A non-transitory machine readable medium that a computer program for performing a color balance operation on color values of an image represented in a color space is described. The computer program receives a selection of a location on the image that includes several pixels. Each of the several pixels of the image includes a set of color values. Based on a set of color values of a set of pixels that corresponds to the selected location of the image, the computer program identifies a set of parameters for generating a color space transform that modifies the color space. The computer program then uses the color space transform to perform a color balance operation on the image.

A first video signal is accessed, and represented in a first color space with a first color gamut, related to a first dynamic range. A second video signal is accessed, and represented in a second color space of a second color gamut, related to a second dynamic range. The first accessed video signal is converted to a video signal represented in the second color space. At least two color-related components of the converted video signal are mapped over the second dynamic range. The mapped video signal and the second accessed video signal are processed. Based on the processing, a difference is measured between the processed first and second video signals. A visual quality characteristic relates to a magnitude of the measured difference between the processed first and second video signals. The visual quality characteristic is assessed based, at least in part, on the measurement of the difference.

The invention relates to a dynamic contrast enhancement device and a dynamic contrast enhancement method. The device comprises a color space switching module, a histogram statistical module, an enhanced mapping function module and a brightness transformation module, wherein the color space switching module is used for switching an input image data from a red, green and blue (RGB) color space to aluma and chroma (YUV) color space; the histogram statistical module is used for counting a gray histogram of an image according to a brightness component Y; the enhanced mapping function module is used for calculating weights of a plurality of brightness component intervals in the histogram and obtaining an adaptive mapping function f according to the designed mapping table of each brightness component interval and the weights; and the brightness transformation module is used for transforming the brightness Y of the image to a novel brightness Y' according to the adaptive mapping function f, and outputting the brightness in the RGB color space through the color space switching module. By the device, the image is divided into the plurality of brightness component intervals, the weights arecalculated respectively, and the adaptive mapping function is obtained by a weighting method to transform the image brightness; therefore, the processed image can keep a mean brightness, the contrastis effectively improved, and the problems of level reduction and details loss caused by the traditional histogram equalization are solved.

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 rare-earth oxide thermal spray coated article comprising a substrate and a coating layer formed by thermally spraying a rare-earth oxide thermal spraying powder onto a surface of the substrate, said coating layer being of a gray or black color having, in the L*a*b* color space, an L* value of up to 50, an a value of −3.0 to +3.0, and a b* value of −3.0 to +3.0.

A method for segmenting a color document into regions of text and halftone discriminates between text and halftone by examining the texture of the document. A color document is digitized, and a color space transform is preferably applied to the digitized document. The texture of the document is identified and a noise reduction step is preferably applied. Bounding boxes (blocks) within the document are identified and then the areas within the bounding boxes are classified as either text or halftone. Two alternative methods are described for examining the document texture. In the first method, a windowing operation is applied to either an intensity image or a color difference image. In the second method, a wavelet transform step combined with Fuzzy K-Mean clustering is applied. Bounding boxes are classified as either text or halftone based upon the relative periodicity of a horizontal or vertical (or both) histogram of each bounding box.

The present invention provides an apparatus for converting a video format of a digital TV and method thereof, by which various functions such as video format detection, color space conversion, chroma format conversion, gamma correction, geometric correction, image quality adjustment, and the like are implemented on one chip to support video signals of various specifications and display devices. The present invention includes an input video format detecting unit detecting a format of an input video, a format converting unit converting spatial resolution, frame rate, scan, aspect ratio, color space, and chroma format of the input video signal detected by the input video format detecting unit into a requested output format, a display characteristic correcting unit correcting the signal converted by the format converting unit to fit a display device, and an image quality adjusting unit adjusting an image quality of the corrected signal.

Spectral separation filters for channels of a 3D image projection incorporate passbands of primary colors. In at least one of the filters, passbands are present in more than 3 primary colors. A set of two filters include a first filter having passbands of low blue, high blue, low green, high green, and red, and a second filter having passbands of blue, green, and red. The additional primary passbands of the first filter allow for an increased color space in projections through the filters compared to filters only having red, green, and blue primaries. The added flexibility of the increased color space is utilized to more closely match a color space and white point of a projector in which the filters are used.

A method for reconstructing an extended color gamut digital image from a limited color gamut digital image includes transforming the limited color gamut digital image in the particular limited color gamut color space to a reference color space forming a limited color gamut digital image in a reference color space; providing a modified inverse color adjustment function which, when such function operates on the limited color gamut digital image in the reference color space, produces the reconstructed extended color gamut digital image having reduced highlight color saturation for highlight color values when compared with corresponding color values of the initial extended color gamut image; and operating on the limited color gamut digital image in the reference color space with the modified inverse color adjustment function to form the reconstructed extended color gamut digital image having reduced levels of color contouring and quantization artifacts.

Gamut-mapping from a source device to a destination device is performed in a perceptually linear color space such as CIECAM02 by separating a source image into primary color components and processing each primary component separately by mapping a source primary hue leaf with a destination primary hue leaf. The mapped primary components are then summed and a resultant destination image is obtained. Alternatively, hue rotation is performed by determining a relative position of an input color between the nearest primary and the nearest secondary color in a source hue wheel. The determined relative position in the source hue wheel is used to find a corresponding location in a destination hue wheel so that the hue angle for obtaining the destination hue leaf can be determined. In both processes, the source and destination hue leafs are mapped using a cusp-to-cusp mapping with a shear mapping process being used to pull in the remaining colors. Finally, results of the mapping process are converted from device-independent color appearance space values to tristimulus values, and from tristimulus values to a color space of the destination device.

A method for the automatic detection and correction of red eye in a digital image is disclosed. The method includes defining a digital image in a hue-saturation-intensity (HSI) color space, and identifying a red eye region in a digital image. Using HSI criteria, identified regions are filtered to discard areas unlikely to be the result of red eye effect, and then a plurality of algorithms are used to apply a color correction to each pixel in the identified red eye region. The color correction manipulates each pixel of the red eye region remove the red eye effect. The method is automatic, and requires no input from a user to define the red eye region, to identify the true color of the red eye region, or to apply the color correction.

A color display system providing reduced observer metameric failure for a set of target observers, comprising an image forming system having narrow-band primaries. A data processing system is used to implement a method for color correcting an input color image having input color values adapted for display on a reference display device having a plurality of input color primaries. A metamerism correction transform is applied to the input color image to determine an output color image having output color values in an output color space appropriate for display on the image forming system. The metamerism correction transform modifies colorimetry associated with the input colors to provide output color values such that an average observer metameric failure is reduced for a distribution of target observers.

The invention discloses a trademark detection method based on a convolutional neural network. According to the method, various kinds of trademark pictures and pictures without trademarks are collected, and the pictures with the trademarks are marked; the convolutional neural network is initialized and is trained through trademark samples and non-trademark samples. In the picture testing process, candidate windows which may contain the trademarks in pictures to be tested are selected through a target area selection method, and color space conversion and scaling processing are carried out on the candidate windows; then the candidate windows are input into the convolutional neural network for recognition, and the candidate windows which are recognized to be the trademarks are marked in the pictures to be tested. According to the method, target area characteristic extraction and recognition are combined through the convolutional neural network, uncertainty caused by characteristic design is avoided, besides, good invariability is maintained during rotation, translation and scale changing, detection speed is increased Based on selection of the divided target area, and meanwhile the false detection rate is lowered.