5792 results about "Color difference" patented technology

This invention discloses one display method, which divides the relative original grey values into higher and lower grey values and divides the secondary pixel area into two sets in same color suitable for high and low second grey values; each set displayed grey values are computed from itself pixel and near higher grey value or lower grey value through different weigh proportion to solve the problem if different vision angles.

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 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 discloses an automatic guidance system based on radio frequency identification labels and vision, and the method of the automatic guidance system. The invention is characterized in adopting a four-wheel structure, wherein two front wheels are used for steering and two rear wheels are used for driving; a direct current motor is used as the travelling and driving device, which is driven to steer by a stepping motor; the invention is provided with a wheel steering angle positioning device, so the invention has relatively high dynamic response ability; a black and white parallel guide belt is adopted as a guide path, with the radio frequency identification labels discontinuously laid below, and red work station characters arranged at both sides; CCD collects road surface information, and the brightness of light source adaptive controls according to image gray information; characters are extracted by utilizing color differences; straight lines are rapidly HOUGH transformed and identified; a control signal is sent to AGV controller after processed by an industrial control computer, and the direct current motor and the stepping motor are controlled. In order to effectively realize the communication dispatch between AGVS in real time, radio frequency identification labels are adopted for positioning, and a wireless transceiver module is adopted for communication between AGVS and a host. The invention has the advantages of good environmental adaptability and navigation precision, and lower cost.

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.

The invention discloses a living body human face detecting method based on a near-infrared and visible-light binocular camera, and belongs to the field of the receiver vision and security. The featurethat video and most paper cannot present an image under the infrared camera is used for effectively preventing the attack of a fake human face in the video, and the texture difference and the color difference of the real human face and the picture human face under the near-infrared camera and the visible light camera are used, a trained classifying model is capable of effectively distinguishing whether the human face is from the real human face or the fake human face in a picture. The accuracy of the living body detection of the method is high. The method is capable of effectively preventingthe attack of the fake human face in common means, such as the video and picture. Compared with a traditional algorithm, the accuracy is greatly improved, the safety is guaranteed, a user does not need to make a corresponding action or expression by cooperating with a machine, and the user experience is improved.

Provided is a method for enabling accurate and consistent imaging of selected colors within a document for various printing device configurations utilizing an automated spot color editor. The method includes determining appropriate target values for a selected color within a print job. The automated spot color editor modifies or adjusts the selected color by selecting a quality level, in the form of a color difference metric, and a maximum number of iterations, which is the maximum number of times the automated spot color editor is operated to calculate a CMYK color formula. Sample patch(es) are printed and analyzed for the selected target value and a CMYK color formula based on the color composition of the sample patch is calculated. The CMYK color formula is inserted into a spot color editing table. Through a graphical user interface, an operator may review the color formula for acceptance.

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.).

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.

A color information processing method includes: inputting reference data including color information about each pixel or each pixel group of a reference medium and evaluation target data including color information about each pixel or each pixel group of an evaluation medium by an input means; performing an image matching process of image matching the input reference data and evaluation target data; setting a specific area which is a unit of evaluation and includes a plurality of pixels to each data item subjected to the image matching process; and comparing the color information items about each pixel or each pixel group in the reference data and the evaluation target data in the set specific area to calculate a color difference and performing an averaging process to calculate an average evaluation result for the specific area by a calculation means.