2892 results about "Color difference" patented technology

The apparatus comprises a correction unit composed of a video camera module for capturing the color information of the screen, an image data buffer module, and a main control module used for receiving and executing the computer command. Said video camera module and image data buffer module are respectively connected to the multi-screen display wall and computer via the main control module. The method comprises: appointing the image displayed by each display unit on the multi-screen display wall; said video camera module shoots at least one picture and saves it in the image data buffer module; the computer extracts the color information from each display unit; according to the color of each display unit, the computer corrects the difference between said display units.

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.

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.

In order to allow a user to arbitrarily set color processing parameters which determine the color reproduction characteristics of a digital camera according to user's preference, an image processing unit obtains color data by performing the same processing as that performed by the digital camera with respect to the sensed data of each color patch included in a color chart by using color processing parameters. A changing unit displays, on a display unit, a target data changing window which presents color data and the target data (the target color of color reproduction) of each color patch and allows the user to change the target data. A parameter editing unit edits color processing parameters so as to reduce the color difference between the changed target data and color data. A data input/output unit transmits the edited color processing parameters to the digital camera.

Provided is a method of removing noise from digital moving picture data reducing the number of frames used in a temporal filtering operation and able to detect motion between frames easily. The method comprises a method of spatial filtering, a method of temporal filtering, and a method of performing the spatial filtering and the temporal filtering sequentially. The spatial filtering method applies a spatial filtering in a YCbCr color space, preserving a contour/edge in the image in the spatial domain, and generating a weight that is adaptive to the noise for discriminating the contour/edge in the temporal filtering operation. The temporal filtering method applies temporal filtering based on motion detection and scene change detection, compensating for global motion, the motion detection considering the brightness difference and color difference of the pixels compared between frames in the temporal filtering operation, and a weight that is adaptive to the noise for detecting the motion in the temporal filtering operation. The spatial filtering method is preferably performed first, and the temporal filtering method is performed with the result of the spatial filtering.

The present invention is directed to systems and methods for processing 2-D to 3-D image conversion. The system and method includes erode filling when an object has been removed from an image. In one embodiment, a target binary t image mask of the removed object is used for comparison with a binary source mask of the image. In an iterative process, color differences between pixels in the target mask and pixels in the source mask are identified and the pixels in the target mask are changed working from the periphery of the target mask to the center of the mask. Color noise is eliminated in the filled region of the target mask and, if desired, random color noise is added to the filled target mask.

The invention discloses a video shot detection method based on histogram improvement and a clustering algorithm, and relates to image processing techniques. According to the method, the histogram improvement and the clustering algorithm are adopted to compute an intersection of histograms of two adjacent frames of images, and whether a shot change happens is judged according to histogram similarity; if the shot change happens, secondary detection on a shot boundary of the intersection of the histograms of the two adjacent frames of images is carried out by utilizing interframe gray scale/color difference values, pixel difference value computation on each block is carried out respectively by adopting non-uniform block weighting processing, pixel difference values and preset block frame differential threshold values are compared to obtain identification variables, the identification variable of each block is weighted and summarized, and the weighing and summarizing values and the preset block differential threshold values are compared to carry out shot detection. The video shot detection method improves shot detection accuracy and solves the problems of shot false detection, frame number discontinuity, and the like.

An optical system (100, 200, 400, 500) that projects a real image (140, 412, 504) into space and includes one or more features located along the optical path that enhance the viewability of the real image. The optical system includes a converging element (128, 208, 416, 528) for converging a portion of source light (104, 516) so as to form the real image. One viewability-enhancing features is the use of a broadband reflector-polarizer (124, 208, 408, 532) having high transmitting and reflecting efficiencies. Another viewability-enhancing features is the use of polarizing elements (116, 124, 136, 408, 420, 424) having substantially matched bandwidth responses and/or comprising an achromatic design. An additional viewability-enhancing feature is the use of a wide-view film (144) to increase the viewing angle of the image.

The present disclosure is related to the liquid crystal display device and the driving method for selectively controlling the average picture level. The liquid crystal display device of the present disclosure comprises: a brightness extractor separating a brightness and a color difference information from an input image; an user interface receiving a limit APL; an APL restrictor calculating an average APL of the input image based on the brightness from the brightness extractor, modulating the brightness of the input image such that the average APL is restricted lower than the limit APL when the average APL of input image is higher than the limit APL, and converting the modulated brightness and the color difference information into a RGB data; and a driving circuit representing the RGB data from the APL restrictor on a liquid crystal display panel.

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.

The present invention discloses a hot-pressing carbonization strengthening method of timbers, which includes drying, planing, hot-pressing carbonization, cooling and other steps. The present invention applies a hot press as a timber-carbonizing device, and the timbers under the state of compression are processed by hot-pressing carbonization. The present invention is characterized in that the investment on carbonization devices is less, the carbonization process is simple, the production is safe, the production efficiency is high, the consumption of heat energy is little, and the production cost is low; moreover, the thickness of the carbonized timbers is not limited, the defects of the timbers, such as deformation, cracking, stiker stain, color difference, knot fall-off, etc., do not occur in the process of production, so the quality of products is high; not only is the size stability and noncorrodibility of the carbonized timbers improved, but also the density and mechanical property of the timbers is increased.

The present invention relates to an image processing device and method, and program, wherein compression efficiency can be improved.

With regard to a luminance block A_Y of 4×4 pixels, motion prediction and compensation processing is performed on the luminance signals using a template region B_Y which is configured of decoded pixels and is adjacent to the block A_Y, thereby obtaining motion vector information V_Y. a color difference TP motion prediction/compensation unit performs motion prediction on a 2×2 pixel color difference block A_C regarding color difference signals Cb and Cr, using a template region B_C which is configured of decoded pixels and is adjacent to a luminance block A_C, with a range E, centered on motion vector information V_Y′ obtained by scaling the motion vector information V_Y, as the range of searching. The present invention can be applied to an image encoding device which performs encoding with the H.264/AVC format, for example.

The invention discloses a printing color quality detecting method of integrating visual measurement, density measurement and color measurement, which comprises the following steps: (1) based on the prior control strips, adding a spot color block, and placing the spot color block into an ink key area corresponding to a spot color part in a printed matter; (2) printing on a machine; (3) extracting the printed matter after a printing machine is stabilized to carry out visual measurement inspection, and taking out the printed matter passing the visual measurement; (4) measuring the colorimetric value of the printed matter by a colorimeter, and using the colorimetric value of the printed matter, the specified value of a sample and the color difference value of a digital sample or the prior sample as standards of qualification judgment; and (5) monitoring the density by adopting a density detecting method during printing. The method integrates respective advantages of the visual measurement, the density measurement and the color measurement, can detect the printing color quality more accurately, is simple and convenient, and is quite suitable for detecting the color quality of the printed matter.

This invention reduces degradation in quality of a resized image in obtaining the resized image. An image capturing apparatus includes an image sensor which converts an optical image into an electrical signal, an A/D conversion unit which converts an image signal output from the image sensor into digital image data, a color interpolation unit which executes color interpolation of the digital image data, a separation unit which separates the digital image data that has undergone color interpolation by the color interpolation unit into a luminance component and color difference components, an image size conversion unit which converts the image size of the luminance component and color difference components, and a lossless compression unit which losslessly compresses the luminance component and color difference components generated by the image size conversion unit.

In one or more embodiments, driver awareness may be calculated, inferred, or estimated utilizing a saliency model, a predictive model, or an operating environment model. An awareness model including one or more awareness scores for one or more objects may be constructed based on the saliency model or one or more saliency parameters associated therewith. A variety of sensors or components may detect one or more object attributes, saliency, operator attributes, operator behavior, operator responses, etc. and construct one or more models accordingly. Examples of object attributes associated with saliency or saliency parameters may include visual characteristics, visual stimuli, optical flow, velocity, movement, color, color differences, contrast, contrast differences, color saturation, brightness, edge strength, luminance, a quick transient (e.g., a flashing light, an abrupt onset of a change in intensity, brightness, etc.).

There is provided a signal conversion circuit which is suitably used in a multiprimary liquid crystal display device (especially a multiprimary liquid crystal display device which performs display in a vertical alignment mode), and a multiprimary liquid crystal display device having such a signal conversion circuit.

A signal conversion circuit according to the present invention is for use in a multiprimary liquid crystal display device which performs display in a vertical alignment mode, and converts an input video signal to a multiprimary signal corresponding to four or more primary colors. When generating a multiprimary signal for displaying dark skin, the signal conversion circuit according to the present invention applies a conversion to the video signal so that a color difference Δu′v′=((u′−u₆₀′)²+(v′−v₆₀′)²) is 0.03 or less, the color difference Δu′v′ being defined by CIE1976 chromaticity coordinates (u′, v′) representing a chromaticity when the pixel is viewed from the frontal direction and CIE1976 chromaticity coordinates (u₆₀′, v₆₀′) representing a chromaticity when the pixel is viewed from a 60° oblique direction.

Provided are a method and system for extracting a target object from a background image, the method including: generating a scalar image of differences between the object image and the background, using a lightness and a color difference between the background and current video frame; initializing a mask to have a value equal to a value for a corresponding pixel of a mask of a previous video frame, where a value of the scalar image of differences for the pixel is less than a threshold, and to have a predetermined value otherwise; clustering the scalar image of differences and the depth data; filling the mask for each pixel position the current video frame, using a centroid of a cluster of the scalar image of differences and the depth data; and updating the background image on the basis of the filled mask and the scalar image of differences.

Provided is an image encoding device including an encoding unit that encodes a down-sampling image obtained by performing down-sampling of a color difference signal; a decoding unit that decodes the encoded encoding image; and a filter information generation unit that performs up-sampling of a color difference signal of the decoded decoding image, filters the color difference signal of the decoded image by using the up-sampled color difference signal of the decoded image and a luminance signal as reference signals, and acquires filter information related to the filtering.

The invention discloses an automatic white balance method and relates to an image adjustment method, which is suitable for image processing, wherein the time of generating second image data is before the time of first image data. The method comprises the following steps: imputing the first image data; adjusting the color of the first image data according to a color gain table; executing an object detection procedure so as to remove at least one foreground object and obtaining a target background; and carrying out color difference analysis on the target background so as to decide at least one image gain parameter. The invention can automatically adjust white balance by carrying out the color difference analysis on the background.

An image processing method, having the steps of: transforming color image signals representing an original image into a luminance signal and color difference signals; transforming the luminance signal and the color difference signals separately into multi-resolution signals of the level 1 to the level N; applying an inverse multi-resolution transform to the color difference multi-resolution signals, after suppressing the high-frequency components of the level 1 of the color difference multi-resolution signals; applying an inverse multi-resolution transform processing to the luminance multi-resolution signals, after applying a coring processing using a condition for each level different from other levels to the high-frequency signals of each level of the luminance multi-resolution signals; transforming the processed luminance signal and the processed color difference signals into a set of processed color image signals.

The invention discloses a color master batch for hard PVC and a preparation method thereof. The color master batch for the hard PVC consists of the following components in percentage by weight: 20 to 70 percent of carrier, 0.01 to 70 percent of toner, 0 to 40 percent of dispersant, 0.1 to 2 percent of antioxidant, 0 to 10 percent of processing aid and 0 to 40 percent of filler. The invention provides the color master batch for the hard PVC with environmental protection, no pollution, high dispersion and good thermal stabilizing effect; and when the color master batch is applied to coloration of a hard PVC product, the color master batch can solve the pollution problem of toner coloration and solve the problem of color change of the common PVC color master batch. The color master batch of the invention can reduce the problems of product flow line, non-uniform color, great color difference and the like, and can improve the impact resistance of the hard PVC product. The preparation method for the color master batch for the hard PVC is simple and practical, and has broad application prospect.

A monitoring system and method is provided that can detect and capture an image at a monitored position as an analog video signal, and in response, convert the analog video signal into a digital video signal for enlargement, analysis and storage of detected facial images therein. The system includes a candidate area detection unit for comparing a color difference signal level of the converted digital video signal with a reference range, a control unit for outputting a zooming control signal and a face detection unit for detecting a face video signal from the enlarged images. A compression/recording unit is provided for then compressing and recording the detected face image video signal, and allowing a user to easily perform a search for a subject's face when searching recorded video data.

A evaluating and testing device of fabric color difference and color fastness is composed of scanner, illuminating system, video camera equipment, image collecting unit and computer for processing and identifying evaluation ¿C test image of fabric color difference and color fastness. The method of evaluating and testing fabric color difference and color fastness is also disclosed.

An image encoding apparatus includes: a luminance component intra-prediction unit which divides an encoding target image into first blocks of (M×M) pixels and determines an intra-prediction mode of a luminance component for each of encoding target blocks of the first block; and a color difference component intra-prediction unit which calculates a weight of a prediction direction by using the intra-prediction mode of the luminance component in the first block and determines an intra-prediction mode of a color difference component of the first block from the weight of the prediction direction.

The invention discloses a multi-view texture mapping method. The method can be used for carrying out high-realistic texture mapping on a three-dimensional model by an image sequence shot in multiple angles. The method comprises the steps of firstly converting multi-view texture mapping into a Markov random field problem, and obtaining an optimal texture image corresponding relation of each patch by an energy optimization method; then simplifying mapped texture data, and restoring invalid textures in part of invisible regions; finally eliminating the color difference of spliced boundaries of textures by a gradient merge method, and obtaining a seamless texture mapping effect. Compared with the conventional method, the method disclosed by the invention has obvious advantages in the two aspects of mapping of complicated sheltered textures and merging of large texture data in the model; high-quality texture mapping is still generated in a complicated scene; examples in a series of complicated scenes show the effectiveness and the robustness of the method.

The invention provides a real stone paint. The real stone paint comprises, by weight, 90-130 parts of water, 2-5 parts of hydroxyethyl cellulose, 2-5 parts of a dispersant, 1-3 parts of a wetting agent, 4-8 parts of an antifoaming agent, 2-3 parts of an antiseptic, 100-150 parts of an emulsion, 5-12 parts of a film forming assistant, 1-3 parts of a pH adjusting agent, 5-20 parts of an antifreeze agent and 400-900 parts of a color sand component, wherein the color sand component comprises two or more than two natural stone flours with similar color. The invention further provides a preparation method of the real stone paint. The natural stone flowers with similar color in raw materials are blended in the embodiment of the invention to balance the color difference of all the natural stone flours, so even the color of one of the natural stone flours changes, the color difference of real stone paint products in batches is very small under the contrast of other natural stone flours with similar color, thereby the color difference change of the real stone paint is well controlled.

In a black character detection processing, RGB data read from a line buffer is converted into YIQ data. For a subject pixel, a subject area centered on the subject pixel is set, and a judgment pixel that has the lowest brightness in the subject area is set. Then, a judgment area is set as being centered on the judgment pixel. If the absolute values of the averages of chroma components I and Q in the judgment area are both less than the corresponding thresholds T1 and T2, the subject pixel is determined as being an achromatic pixel. Black codes are added to fine-line pixels and edge pixels if the fine-line pixels and edge pixels are determined as being achromatic. Thus, the fine-line pixels and edge pixels can be specified as to be printed in black monochromatic ink. Therefore, black character or similar fine-line or edge part images can be outputted with high quality.

The invention discloses a screen background setting method and a movable terminal. The screen background setting method comprises the following steps: when the icon of the movable terminal on a current screen is changed, the movable terminal builds up a color model according to the changed icon; the movable terminal calculates the color difference between the background of the current screen and the changed icon according to a color model of the background of the current screen and the color model of the changed icon; and the movable terminal judges whether the background of the current screen needs to be changed according to the color difference between the background of the current screen and the changed icon, and when the judgment is yes, the movable terminal replaces the background of the current screen according to a color model of a target screen background and the color model of each icon.

A method is provided for processing image data read from a book document placed on a platen of an image reading apparatus. The method includes determining a background pixel of the image data based on a luminance difference or a color difference between neighboring pixel arrays, identifying a shadow region based on a luminance change between the neighboring background pixel arrays, discriminatively detecting a shadow of a binding portion and a shadow of a front edge in a document region with reference to a changing direction of shadow luminance, and performing a luminance correction on the shadow region according to characteristics of the shadows.

An image processing method includes a segmentation step that segments an input image into a plurality of regions by using an automatic segmentation algorithm, and a computation step that calculates a saliency value of one region of the plurality of segmented regions by using a weighted sum of color differences between the one region and all other regions. Accordingly, it is possible to automatically analyze visual saliency regions in an image, and a result of analysis can be used in application areas including significant object segmentation, object recognition, adaptive image compression, content-aware image resizing, and image retrieval.