5616 results about "Color space" patented technology

A system and method for ranking images are provided. The method includes receiving a query comprising a semantic part and an abstract part, retrieving a set of images responsive to the semantic part of the query, and computing first scores for the retrieved images in the set of retrieved images. The first score of an image can be based on a relevance of that image to the semantic part of the query (and not to the abstract part of the query). The method further includes identifying a chromatic concept model from a set of chromatic concept models. This identification can be based on the abstract part of the query (and not on the semantic part of the query). The chromatic concept model includes an optionally-weighted set of colors expressed in a perceptually uniform color space. For retrieved images in the set of retrieved images, the method includes computing a chromatic image model based on colors of the image, the chromatic image model comprising a weighted set of colors expressed in the perceptually uniform color space and computing a comparison measure between the chromatic image model and the chromatic concept model. The retrieved images are scored with respective second scores that are based on the computed comparison measures. The retrieved images are ranked based on a combined score for a respective retrieved image which is a function of the first and second scores.

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.

A hand-manipulated prop is picked-up via a single video camera, and the camera image is analyzed to isolate the part of the image pertaining to the object for mapping the position and orientation of the object into a three-dimensional space, wherein the three-dimensional description of the object is stored in memory and used for controlling action in a game program, such as rendering of a corresponding virtual object in a scene of a video display. Algorithms for deriving the three-dimensional descriptions for various props employ geometry processing, including area statistics, edge detection and / or color transition localization, to find the position and orientation of the prop from two-dimensional pixel data. Criteria are proposed for the selection of colors of stripes on the props which maximize separation in the two-dimensional chrominance color space, so that instead of detecting absolute colors, significant color transitions are detected. Thus, the need for calibration of the system dependent on lighting conditions which tend to affect apparent colors can be avoided.

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.

A tetrachromatic color filter array comprises multiple pixels, each of which comprises first, second, third and fourth sub-pixels having first, second, third and fourth hues, P1, P2, P3 and P4 respectively, these first, second, third and fourth hues having first, second and third hue angles, h1, h2, h3 and h4 respectively. The hues of the sub-pixels such that h3 equals h1+(180°±10°) and h4 equals h2+(180°±10°) in the a*b* plane of the La*b* color space.

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.

For two or more versions of a video with different spatial, temporal or SNR resolution, scalability can be achieved by generating a base layer and an enhancement layer. When a version of a video is available that has higher color bit depth than can be displayed, a common solution is tone mapping. A more efficient compression method is proposed for the case where the two or more versions with different color bit depth use different color encoding. The present invention is based on joint inter-layer prediction among the available color channels. Thus, color bit depth scalability can also be used where the two or more versions with different color bit depth use different color encoding. In this case the inter-layer prediction is a joint prediction based on all color components. Prediction may also include color space conversion and gamma correction.

The technique of the invention converts an object RGB image into an image in a YIQ color space, calculates a luminance variation at each target pixel from Y channel values of the target pixel and an adjacent pixel adjoining to the target pixel, and computes a smoothness degree of luminance variation at the target pixel as summation of absolute values of differences between luminance variations at the target pixel and adjacent pixels. A block noise evaluation value B is obtained as a ratio of an average smoothness degree ave(psx), ave(psy) of luminance variation for boundary pixels located on each block boundary to an average smoothness degree ave(nsx), ave(nsy) of luminance variation for inner pixels not located on the block boundary. The block noise evaluation value B closer to 1 gives an evaluation result of a lower level of block noise, whereas the block noise evaluation value B closer to 10 gives an evaluation result of a higher level of block noise.

A device detects the location of objects in an environment by receiving an optical image and converting the optical image of the lost object into a color digital image. The device employs software to perform an analysis of the color digital image to detect the location of the one or more objects in the environment by using color and shape characteristics of the one or more objects. The software uses a range of the visible portion of the color space uniquely identified for the type of object in that environment and identifies those pixels in the color digital image that may be possible targets. Intensity of background and object size are used to exclude pixels as possible target objects.

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 cameraconverting 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; anddetermining 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).

Provided is an image processing method and a apparatus of converting a color input image or a partial region thereof in accordance with a color gamut of a color image output apparatus is provided. The method and apparatus is characterized in that only the region requiring color gamut compression can be put to color gamut compression depending on the distribution of an input image, that the direction of the color gamut compression can be controlled continuously for each of the regions; the amount of the color gamut compression can be controlled continuously including clipping, that when color gamut compression is conducted by a color converter of a multi-dimensional DLUT interpolating calculation type, an excessively unnecessary color gamut compression can be avoided particularly upon clipping, and that there is enabled correction for visual bending in iso-hue lines caused by distortion of a color space in each of the regions of the color space.

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 method and apparatus are provided for analyzing, identifying, and comparing images. The method can be used with any visually-displayed medium that is represented in any type of color space. An identified image can be authenticated, registered, marked, compared to another image, or recognized using the method and apparatus according to the present invention. At least one characteristic of an image's color space is selected and determined to generate a unique description of the image. This identification information is then used to compare different identified images to determine if they are identical according to a set of predetermined criteria. The predetermined criteria can be adjusted to permit the identification of images that are identical in part. In the preferred embodiment of the present invention, a software search application, such as a search engine or a spider, is used to locate and retrieve an image to be identified from an electronic network. A notification alarm is triggered when a duplicate image is located. In one embodiment, the present invention is implemented using a computer. One or more software applications, software modules, firmware, and hardware, or any combination thereof, are used to determine the identification information for the selected image characteristics, search for images, provide notification of identical images, and to generate a database of identified images.

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.

A method and apparatus for converting an m-dimensional color space comprising first through m-th input color components to an n-dimensional color space comprising first through n-th output color components. specified A method of converting an m-dimensional color space having first through m-th input color components into an n-dimensional color space having first through n-th output color components, m being less than n, includes: extracting first through nth intermediate color components by linearly combining the first through m-th input color components; determining whether m+1-th through n-th intermediate color components are within a specified dynamic range and compensating the first through n-th intermediate color components when signal values of the m+1-th through n-th intermediate color components are not within the dynamic range to obtain the first through n-th output color components.

A disposable absorbent article comprising a front waist region, a rear waist region, and a crotch region, wherein said absorbent article further comprises at least three discrete elements each comprising at least one visible surface; wherein at least three or more of the visible surfaces comprise an imparted color wherein said colors are color matched. Color matching exists when said colors are contained within a specified CIELab color space volume, have a specified hue difference, or total color 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.