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108 results about "Luminance channel" patented technology
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The luminance channel is also referred to as the achromatic channel or the spectrally non-opponent channel. The strongest input to this channel is the sum of the long wavelength sensitive (L) and middle wavelength sensitive (M) cone receptors.
Defective color and panchromatic cfa image
ActiveUS20100104209A1Improved color filter array imageReduce blurTelevision system detailsColor signal processing circuitsColor imageColor filter array
A method of improving a first color filter array image from an image sensor having a plurality of color channels and a panchromatic channel, includes capturing the panchromatic channel at a different exposure time than at least one of the color channels with the image sensor; using the color channels to provide a luminance channel; and analyzing the color filter array image and the luminance channel to determine defective pixels in the color channels and using neighboring color and luminance pixel values to improve the defective pixels to produce a second color filter array image or full-color image having at least one improved channel.
Owner:OMNIVISION TECH INC
Defective color and panchromatic CFA image
ActiveUS8111307B2Reduce blurLower captureTelevision system detailsTelevision system scanning detailsColor imageColor filter array
Owner:OMNIVISION TECH INC
Removing ringing and blocking artifacts from JPEG compressed document images
InactiveUS20070280551A1Efficient removalIncrease computational costCharacter and pattern recognitionDigital video signal modificationColor imageSignal-to-noise ratio (imaging)
A method of removing ringing and blocking artifacts from a decompressed digital image. In one method, a background value of the digital image a background region and foreground regions is determined, and a threshold value is computed. A mapping of the digital image is then generated by thresholding the digital image based on the threshold value to produce a thresholded image, and enlarging the foreground regions of the thresholded image to form a map image. The mapping includes the background pixels of the map image. The background region of the decompressed digital image is then cleansed based on the mapping. In an alternate method, ringing artifacts are removed from a decompressed digital image based on a signal-to-noise ratio of the image. In yet another alternate embodiment, ringing artifacts are from a decompressed digital color image that includes a chrominance channel and a luminance channel. An alternate embodiment removes ringing and blocking artifacts.
Owner:XEROX CORP
Non-contact heart rate measurement method and device based on Euler image magnification
ActiveCN107529646ARealize automatic measurementImage analysisCharacter and pattern recognitionTime domainHeart rate measurement
The embodiment of the invention discloses a non-contact heart rate measurement method and a device based on Euler image magnification, used for solving the technical problems existing in the existingnon-contact heart rate measurement method that the heart rate is great in same-frequency noise interference and is greatly influenced by an environment temperature, isolation signal authenticity lacksjudgment and the like. The non-contact heart rate measurement method and device based on Euler image magnification in the embodiment of the invention comprises the following steps: S1, magnifying tiny change of radial artery jump in a video through an Euler image magnification technology; S2, performing luminance variance statistics on a video frame pixel point luminance channel after magnifyingthe tiny change of radial artery jump in a time domain, performing skin segmentation on the video frame subjected to magnification of the tiny change of radial artery jump, and extracting a radial artery jump area; and S3, performing time-frequency analysis on the radial artery jump area so as to calculate the heart rate.
Owner:GUANGDONG UNIV OF TECH
Method of spatially filtering a digital image using chrominance information
ActiveUS7280703B2Improve tone scale characteristicImage enhancementImage analysisControl signalDigital image
A method of processing a color digital image having a luminance channel and one or more chrominance channels to improve the tone scale characteristics of the image, includes the steps of: producing a control signal from the one or more chrominance channels; generating a pedestal signal containing mainly low frequency modulation by filtering the luminance channel with a spatial filter, whereby the operation of the spatial filter is modulated by the control signal; and producing a texture signal by subtracting the pedestal signal from the luminance channel.
Owner:MONUMENT PEAK VENTURES LLC
Method and System for Improving Compressed Image Chroma Information
InactiveUS20080273809A1Lower Level RequirementsImprove image qualityColor television with pulse code modulationGeometric image transformationImage resolutionVideo image
Methods, systems, and computer programs for improving compressed image chroma information. In one aspect of the invention, a resolution for a red color component of a color video image is used that is higher than the resolution for a blue color component of the color video image. Another aspect includes utilizing a lower or higher value of a quantization parameter (QP) for one or more chroma channels as compared to the luminance channel. Another aspect is use of a logarithmic representation of a video image to benefit image coding. Another aspect uses more than two chroma channels to represent a video image.
Owner:DOLBY LAB LICENSING CORP
High-speed scanner having image processing for improving the color reproduction and visual appearance thereof
InactiveUS6924909B2Accurate color reproductionHigh-quality textDigitally marking record carriersImage analysisDigital converterVisual appearance
A scanner for digitizing a document includes a digitizer for digitizing the document into a first color space; a circuit for converting the digitized data into a second color space having a luminance channel and two chrominance channels; a multiplexer having text, approximate actual color of a uniform area and a predetermined color as input for selecting either the text, approximate actual color or the predetermined color as outputs; and multiplexer control input which determines which of the outputs will be selected as actual output based on a uniform area of the document.
Owner:KODAK ALARIS INC
Filtered noise reduction in digital images
InactiveUS20070132865A1Reduce noiseIncrease contentImage enhancementImage analysisDigital imagingNoise reduction
A method of reducing noise in a digital image produced by a digital imaging device, includes producing a luminance and at least one chrominance channel from a full-color digital image with each channel having a plurality of pixels and each such pixel has a value; producing an edge value from neighboring pixels in neighborhoods in the at least one chrominance channel; modifying the pixel value in the chrominance channel with an infinite impulse response filter responsive to the edge value of the corresponding pixel neighborhood to provide a modified chrominance channel; and producing a full-color digital image from the luminance channel and the modified chrominance channel, with reduced noise.
Owner:EASTMAN KODAK CO
Apparatus and method for enhancing image using color channel
ActiveUS20140369601A1Easy to implementFast processingImage enhancementImage analysisColor imageContrast enhancement
Provided are an apparatus and method for enhancing an image using a color channel. A pre-processing unit generates an inverted image by inverting a luminance component estimated from a red (R) channel among color channels of a red, green, and blue (RGB) color space of an input image. A channel merging unit generates a merged luminance (L) channel by merging an L channel of an International Commission on Illumination (CIE) L*a*b* (CIELab) color space of the input image and the inverted image. A contrast enhancement unit enhances contrast by expanding a histogram of the merged L channel. A color restoration unit combines the merged L channel whose contrast has been enhanced and chromaticity components of the input image, and converts a resultant color image to the RGB color space, thereby generating a restored image.
Owner:CHUNG ANG UNIV IND ACADEMIC COOP FOUND
Color image denoising method and system thereof
ActiveCN102156964AGood denoising effectGood noise removalImage enhancementImage analysisPattern recognitionColor image denoising
The invention relates to the field of video processing, and discloses a color image denoising method and a system thereof. In the method and the system thereof, cross-channel invariable information is extracted from a luminance channel image for the denoising treatment on a chrominance channel image, so that a false color edge or texture can be eliminated, the fuzzyness of the edge part can be reduced, and better integral denoising effect can be obtained. The cross-channel invariable information can be edge information, texture information, noise intensity and the like. The luminance channel may be firstly processed with local data conversion; the cross-channel invariable information is extracted from a conversion domain; and characteristic information, such as edge texture and the like can be extracted from local image data more effectively based on different characteristics of a signal represented in the conversion domain, and consequently, the chrominance channel image can be denoised better based on the information.
Owner:HANGZHOU HIKVISION DIGITAL TECH
A lane line detection method and apparatus
ActiveCN109359602AImprove accuracyLess distracting edgesCharacter and pattern recognitionCurve fittingImage segmentation
The present application relates to a lane line detection method and apparatus. The method comprises the following steps of: converting an image to be processed into a color space including a saturation channel and a luminance channel to obtain a color space image; based on the saturation channel and brightness channel of color space image, obtaining the image segmentation information of color space image by filtering, wherein the image segmentation information includes: first edge information obtained by gradient direction filtering of saturation channel and second edge information obtained byhorizontally filtering a saturation channel and a luminance channel; determining a lane line binary map based on image segmentation information; according to the effective pixel points in the binarydiagram of lane line, carrying out the curve fitting to obtain the fitting lane line. The method can effectively avoid the interference of shadows, vehicles or other obstacles, and improve the accuracy of lane fitting.
Owner:CHANGSHA INTELLIGENT DRIVING INST CORP LTD
Method and system for image classification and halftone frequency detection
ActiveUS20050271277A1Accurate document image segmentation resultSimple and economic to implementImage analysisPicture reproducers using cathode ray tubesPattern recognitionSpatial Orientations
A system and method for classifying an image block of a printed image into contone, halftone, or error diffusion classes, includes scanning the printed image; selecting an n by n block of pixels from the scanned image in a luminance channel; calculating an array of DCT coefficients of the pixel block, wherein the calculated DCT coefficients are representative of spatial frequency and spatial orientation of the pixel block; comparing the array of DCT coefficients with an array of predetermined values, wherein the array of predetermined values are indicative of contone, halftone and error diffusion classes; and determining the image classification of the pixel block based on the comparison of the DCT coefficients with the array of predetermined values. If the image is determined to be halftone, then the method further evaluates the DCT coefficients to determine the frequency of the halftone screen.
Owner:XEROX CORP
Exposure correction method for digital images
InactiveUS20050254723A1Easy to processReduce processing timeImage enhancementCharacter and pattern recognitionImaging processingDigital image
An exposure correction method for digital images first computes a gray-level histogram of an image. Then determine whether the exposure of the image is normal from the gray-level histogram, thereby determining an exposure threshold. The central region of the image is extracted to find an average brightness Iave. The average brightness Iave and a destination brightness Idest are used to determine an adjusting curve y=f(x). The brightness channel is adjusted according to a constructed correspondence table. Therefore, the image processing effects are enhanced even though the processing time is reduced.
Owner:PRIMAX ELECTRONICS LTD
Weighted gradient based and color corrected interpolation
ActiveUS7256828B2High quality interpolationReduce computing costTelevision system detailsTelevision system scanning detailsPattern recognitionColor correction
The apparatus and method invented are operating upon a digital image signal obtained from an image sensor. The sensor is covered with different colored filters and is only able to record the color transmitted through each specific filter into the photosite or pixel. This type of sensor is known as a color filter array or CFA sensor. The different colored filters are arranged in a predefined pattern across the sensor. To obtain a full color image the missing color information is estimated by a set of weighed values obtained by an inverted gradient function. The set of weighted values is found from the neighboring pixels in the four compass directions, north, east, west and south or is found horizontally and vertically. The surrounding pixels are corrected by the chrominance channel to better fit the center pixel in the luminance channel, prior to using the gradient functions. The chrominance channel is interpolated in a similar manner and is also corrected to better fit the center pixel before the inverted gradient functions are applied.
Owner:GULA CONSULTING LLC
An illumination estimation method based on monocular camera
ActiveCN109523617AGet rid of restrictionsEasy to deployImage enhancementImage analysisRgb imageEstimation methods
The invention relates to computer graphics, which is an illumination estimation method based on a monocular camera. The method comprises the following steps: a monocular camera acquires an RGB image as an input of a depth estimation; Convolution neural network for depth estimation of monocular camera is constructed and trained. The RGB image is input to the trained convolution neural network for depth estimation, and the depth prediction value is obtained, and the depth prediction map is output. The depth prediction value is upsampled to match the size of the depth prediction map with the RGBimage, and the upsampled depth prediction value is used as the input of the illumination estimation. The RGB image is transformed into CIELab color space, and the luminance channel information is usedas the input of illumination estimation. The spherical harmonic coefficients of the light source information in all directions of the real scene can be obtained by using the luminance channel information and the depth prediction value to estimate the illumination. This method uses monocular camera to obtain the light source information in each direction of the real scene, and effectively improvesthe fidelity of rendering virtual object in AR technology.
Owner:SUN YAT SEN UNIV
Removing ringing and blocking artifacts from JPEG compressed document images
InactiveUS7532767B2Efficient removalIncrease computational costCharacter and pattern recognitionDigital video signal modificationColor imageSignal-to-noise ratio (imaging)
Owner:XEROX CORP
Method and apparatus for motion artifact correction in hdr video
A method and system of correcting motion artifacts are provided for video captured from interlaced multiple exposure sensors. The following are included: (a) motion artifacts detection of a pixel area, (b) smoothing of the detected pixel area, and (c) motion artifacts correction. The motion artifacts pixels are detected by comparing the luma difference between a current image frame and a previous image frame; the pixels of the surrounding area are also checked. A smoothing operation is applied to the detected artifacts area, in order to remove isolated pixels and enlarge the detected area. Corrections are then provided using a multistage filter for the luma channel and a mean filter for the chroma channel.
Owner:APTINA IMAGING CORP
Method and system for variable color saturation
InactiveUS20060146193A1Reduce complexityVariable luminanceTelevision with combined individual color signalColor signal processing circuitsColor transformationLow-pass filter
A low complexity apparatus (100) and method (200) for variable color saturation, performed in combination with RGB to YUV color space conversion, is used to direct input signal noise away from a luminance channel, to which the human eye is highly sensitive, and into chrominance channels. The apparatus (100) is adapted to perform color conversion and variable color saturation of input primary color signals red, green and blue to produce variable chrominance signals and luminance invariance. The apparatus includes a luminance composition module (105) dependent on non-varying luminance composition coefficients. A first chrominance composition module (110) is dependent on the non-varying luminance composition coefficients and includes a first variable saturation coefficient that is multiplied by the difference between low pass filtered red and green primary color signals. A second chrominance composition module (115) is also dependent on the non-varying luminance composition coefficients and includes a second variable saturation coefficient that is multiplied by the difference between low pass filtered blue and green primary color signals.
Owner:MOTOROLA INC
Composite masking system and method for improving invisibility of high-definition video watermarking
ActiveUS20120027207A1Improve stealth performanceAvoid problemsCharacter and pattern recognitionTelevision systemsInvisibilityHigh-definition video
A composite masking system and method for improving the invisibility of high-definition video watermarking. The composite masking system includes a watermark generation module, a mask generation module, and watermark embedment means. The watermark generation module generates a basic watermark pattern using a private key, and generate a watermark pattern by repeatedly extending the basic watermark pattern. The mask generation module generates a Noise Visibility Function (NVF) mask using NVF masking means, an adaptive dithering mask using adaptive dithering masking means, and a contour mask using contour masking means. The watermark embedment means generates a composite mask by multiplying the NVF mask, the adaptive dithering mask and the contour mask together, multiplying the composite mask and the extended watermark pattern together, and embedding the result of the second multiplication in the luminance channel of an original image.
Owner:KOREA ADVANCED INST OF SCI & TECH
Tooth identification method, device and system
ActiveCN106446800AQuick and accurate identificationCharacter and pattern recognitionLip featureLightness
The embodiment of the invention provides a tooth identification method, device and system. The method comprises the following steps of: according to the obtained coordinates of lip feature points, determining a target image which comprises teeth to obtain the approximate area of the teeth; combining with a characteristic that the teeth are bright on a luminance channel, converting the target image into a preset color space of which the luminance detection is sensitive; on the basis of a luminance grayscale image and a first masking grayscale image, obtaining a second masking grayscale image; on the basis of a chromaticity image and a saturability image, obtaining a lip probability image; and finally, on the basis of the second masking grayscale image and the lip probability image, obtaining a third masking grayscale image, wherein the pixel value of a tooth part in the third masking grayscale image has an obvious difference with pixel values on other positions, and an area which is formed by the pixels of which the pixel values are greater than or equal to a third preset value in the third masking grayscale image as a tooth area. Therefore, a purpose that the teeth can be quickly and accurately identified is realized.
Owner:北京贝塔科技有限公司
Method and system for image classification and halftone frequency detection
ActiveUS7424151B2The segmentation result is accurateEconomical and simpleImage analysisPicture reproducers using cathode ray tubesSpatial OrientationsPattern recognition
Owner:XEROX CORP
Method and apparatus for image processing based on a mapping function
Owner:SAMSUNG ELECTRONICS CO LTD
Sequence remote sensing image tone consistency correction method and system
The invention discloses a sequence remote sensing image tone consistency correction method and a system. The method comprises the following steps: transferring a colored sequence image from RGB color space to L[alpha, beta] color space to perform the tone transfer preprocessing and the global gain compensation of luminance channels; in color channel histogram mapping, adjusting the image gray-scales of color channel [alpha] and color channel [beta] separately; transferring all images from L[alpha, beta] color space to RGB color space and outputting and saving the processed results. According to the invention, the method and system can effectively suppress or eliminate the differences in brightness and the color existing in the images by utilizing the tone corresponding relationship of the overlapping areas of adjacent images. The method and system can also greatly reduce the image distortion caused by the correlation between the channels, and automatically select the reference color by searching the maximum consistent image subset, thus avoiding the problem of manually selecting the reference color.
Owner:SHENZHEN JIMUYIDA TECH CO LTD
Pulse coupled neural network (PCNN) face image segmenting method simulating visual cells to feel field property
InactiveCN102682297ASmooth connectionImprove segmentationBiological neural network modelsCharacter and pattern recognitionPattern recognitionImage segmentation
The invention relates to a pulse coupled neutral network (PCNN) disabled face image segmenting method simulating visual cells to feel a field property. The method comprises the following steps of feeling a structure of a feedback domain connection matrix in a field model optimized pulse coupled neutral network by visual cells, obtaining a pulse coupled neutral network model with a directionality and scale; adjusting the model parameters according to the characteristics of a disabled face image; and finally inputting the brightness channel information of the disabled face image to the model to produce human visual simulated face segmenting result. As the cell felt field model optimizes the connection matrix, the pulse coupled neutral network has directionality and scale, the correction rate for segmenting is improved, and better robustness for face segmenting under natural lighting is realized. In addition, compared with the other methods, the method provided by the invention has the advantages of good separation degree between different image contents, well kept details of the image, fast segmenting speed and the like.
Owner:ZHONGBEI UNIV
Method and apparatus for reducing image noise
ActiveUS20140321744A1Low costReduce image noiseImage enhancementImage analysisLuminance channelImage noise
Embodiments of the present invention provide a method and an apparatus for reducing image noise. The method includes decomposing an original image into a luminance channel image and at least one chrominance channel image, and calculating a weighted average value of each pixel of the luminance channel image and the chrominance channel image by using luminance information, to correct each pixel of the luminance channel image and the chrominance channel image. By virtue of the embodiments of the present invention, it is possible to effectively avoid color dispersion at edges of images, to achieve easy implementation, and to effect low cost.
Owner:FUJITSU LTD
Method and system for improving compressed image chroma information
InactiveUS20110286518A1Lower Level RequirementsImprove image qualityGeometric image transformationPicture reproducers using cathode ray tubesImage resolutionVideo image
Owner:DOLBY LAB LICENSING CORP
Image decoding method and device therefor, and image encoding method and device therefor
ActiveUS20170019672A1Efficient compressionDigital video signal modificationPattern recognitionLuminance channel
Disclosed is a video data decoding method comprising receiving a bitsream comprising encoded image information; decoding an image based on the encoded image information and obtaining luma data allocated to luma channels comprising a plurality of channels and chroma data allocated to a chroma channel comprising one channel from data generated by decoding the image; merging the obtained luma data as luma data having one component; splitting the obtained chroma data into chroma data having a plurality of components; and reconstructing the image based on the luma data having one component generated by merging the obtained luma data and the split chroma data having the plurality of components.
Owner:SAMSUNG ELECTRONICS CO LTD
Endoscope system and method for operating the same
ActiveUS10039439B2Weakening rangeImprove registration accuracyImage enhancementTelevision system detailsSignal generatorImage signal
Owner:FUJIFILM CORP
HDR image generation method and device based on multi-camera image fusion, and storage medium
PendingCN111986129AAvoid ghostingAvoid color castImage enhancementImage analysisCamera imageRadiology
The invention discloses an HDR image generation method based on multi-camera image fusion, terminal equipment and a computer storage medium. The method comprises the steps: obtaining a plurality of images with different exposure degrees, which are photographed at the same time in the same scene, from a plurality of cameras, and enabling the current exposure parameters of the plurality of cameras to be generated by the result of a previous frame; aligning at least one abnormal exposure image by taking the normal exposure image as a reference; and finally, respectively fusing the brightness channel and the chrominance channel of the aligned image to generate an HDR image. According to the technical scheme, HDR images can be generated by multiple cameras, and the problems of ghosting and color cast possibly caused by continuous exposure of a single camera are avoided.
Owner:TP-LINK
Method for detecting image flicker stripes and method for adjusting image exposure time
ActiveCN110213497AReduce computational complexityTelevision system detailsColor television detailsBlink frequencyMean vector
Owner:CHENGDU LIGHT COLLECTOR TECH
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