1032 results about "Pixel image" patented technology

A color display device, comprising: an array of subpixels of at least four different colors, including at least two relatively higher luminous color subpixels and at least two relatively lower luminous color subpixels, wherein the subpixels are arranged into groups forming at least two distinct types of pixels, each pixel type including the two relatively higher luminous color subpixels and at least one of the two relatively lower luminous color subpixels, and wherein the pixel types are arranged in a pattern such that the relative locations of the two relatively higher luminous color subpixels in each pixel is repeated in adjacent pixels, and the relative location of at least one of the two relatively lower luminance color subpixels is not repeated in at least one adjacent pixel. Various embodiments of the invention enable color display devices with improved image display quality, with both the appearance of jagged lines and the appearance of banding reduced simultaneously.

Method and apparatuses processing pixel values from a captured image include receiving an array of digital pixel values corresponding to a captured image, and computing a rolling sum of the array of pixel values. Computing a rolling sum includes selecting successive groupings of the pixel values, each grouping comprising N×M pixel values, summing pixel values in each of the successive groupings, and forming an output image using the summed pixel values.

A pixel image enhancement system which operates on color or monochrome source images to produce output cells the same size as the source pixels but not spatially coincident or one-to-one correspondent with them. By operating upon a set of input pixels surrounding each output cell with a set of logic operations implementing unique Boolean equations, the system generates "case numbers" characterizing inferred-edge pieces within each output cell. A rendering subsystem, responsive to the case numbers and source-pixel colors, then produces signals for driving an output device (printer or display) to display the output cells, including the inferred-edge pieces, to the best of the output device's ability and at its resolution.

An image sensor with an image area having a plurality of pixels each having a photodetector of a first conductivity type, the image sensor includes a substrate of the first conductivity type; a first layer of the second conductivity type between the substrate and the photodetectors, spanning the image area and biased at predetermined potential with respect to the substrate for driving excess carriers into the substrate to reduce cross talk; one or more adjacent active electronic components disposed in the first layer within each pixel; and electronic circuitry disposed in the substrate outside of the image area.

Image transform apparatus for processing pixel image data, comprising: at least one low pass extractor for extracting a low pass component from a series of image pixels, at least one low pass downsampler associated with said at least one low pass extractor for producing downsampled versions of respective extracted low pass components, at least one high pass extractor for extracting a high pass component from a series of image pixels, at least one high pass downsampler associated with said at least one high pass extractor for producing downsampled versions of respective extracted low pass components, and control and iteration circuitry associated with said low pass extractor and said high pass extractor for: feeding complementary sets of pixels from an image to said respective extractors, receiving respective low and high pass components from respective high and low pass downsamplers, and iteratively feeding complementary sets of pixels from a downsampled version of said most recently formed low pass component to respective high and low pass extractors and receiving further respective low and high pass components until a stop condition is reached. The corresponding reverse transform uses assumptions about localized step or edge behavior in the image.

An ultrasound scanner is equipped with one or more fuzzy control units that can perform adaptive system parameter optimization anywhere in the system. In one embodiment, an ultrasound system comprises a plurality of ultrasound image generating subsystems configured to generate an ultrasound image, the plurality of ultrasound image generating subsystems including a transmitter subsystem, a receiver subsystem, and an image processing subsystem; and a fuzzy logic controller communicatively coupled with at least one of the plurality of ultrasound imaging generating subsystems. The fuzzy logic controller is configured to receive, from at least one of the plurality of ultrasound imaging generating subsystems, input data including at least one of pixel image data and data for generating pixel image data; to process the input data using a set of inference rules to produce fuzzy output; and to convert the fuzzy output into numerical values or system states for controlling at least one of the transmit subsystem and the receiver subsystem that generate the pixel image data.

The present invention relates to a method for closed-loop controlling a processing operation of a workpiece, comprising the steps of: (a) recording a pixel image at an initial time point of an interaction zone by means of a camera, wherein the workpiece is processed using an actuator having an initial actuator value; (b) converting the pixel image into a pixel vector; (c) representing the pixel vector by a sum of predetermined pixel mappings each multiplied by a corresponding feature value; (d) classifying the set of feature values on the basis of learned feature values into at least two classes of a group of classes comprising a first class of a too high actuator value, a second class of a sufficient actuator value and a third class of a too low actuator value at the initial time point; (e) performing a control step for adapting the actuator value by minimizing the error e_t between a quality indicator y_e and a desired value; and (f) repeating the steps (a) to (e) for further time points to perform a closed-loop controlled processing operation.

The present invention provides a system for processing panoramic photographic images. The system includes a mirror for reflecting an image of a scene, a mounting assembly for mounting the mirror on an axis, a first camera for capturing the image reflected by the mirror, at least one secondary camera for capturing a portion of the scene, means for mapping pixel data of the image captured by the first camera into a viewable image, and means for cooperatively displaying the viewable image and the portion of the scene captured by the at least one of the secondary cameras. The mirror may include a convex reflective surface defined by rotating around the axis: an equi-angular shape or a compensated equi-angular shape. The secondary camera may also capture a portion of the image reflected by the mirror. Alternatively, the system may include a single camera including an active-pixel image sensor for capturing at least a portion of the image reflected by the mirror. Methods for processing images in accordance with the system are also provided.

An EUV light source apparatus and method are disclosed, which may comprise a pulsed laser providing laser pulses at a selected pulse repetition rate focused at a desired target ignition site; a target formation system providing discrete targets at a selected interval coordinated with the laser pulse repetition rate; a target steering system intermediate the target formation system and the desired target ignition site; and a target tracking system providing information about the movement of target between the target formation system and the target steering system, enabling the target steering system to direct the target to the desired target ignition site. The target tracking system may provide information enabling the creation of a laser firing control signal, and may comprise a droplet detector comprising a collimated light source directed to intersect a point on a projected delivery path of the target, having a respective oppositely disposed light detector detecting the passage of the target through the respective point, or a detector comprising a linear array of a plurality of photo-sensitive elements aligned to a coordinate axis, the light from the light source intersecting a projected delivery path of the target, at least one of the which may comprise a plane-intercept detection device. The droplet detectors may comprise a plurality of droplet detectors each operating at a different light frequency, or a camera having a field of view and a two dimensional array of pixels imaging the field of view. The apparatus and method may comprise an electrostatic plasma containment apparatus providing an electric plasma confinement field at or near a target ignition site at the time of ignition, with the target tracking system providing a signal enabling control of the electrostatic plasma containment apparatus. The apparatus and method may comprise a vessel having and intermediate wall with a low pressure trap allowing passage of EUV light and maintaining a differential pressure across the low pressure trap. The apparatus and method may comprise a magnetic plasma confinement mechanism creating a magnetic field in the vicinity of the target ignition site to confine the plasma to the target ignition site, which may be pulsed and may be controlled using outputs from the target tracking system.

The invention discloses a coding method for a three-dimensional video. The method comprises the following steps of: inputting a first frame image which comprises image texture information and depth information at a plurality of different viewpoints at the same time so as to form depth pixel images of the plurality of the viewpoints; selecting a viewpoint which is closest to a center as a main viewpoint and mapping the depth pixel image of each viewpoint onto the main viewpoint; acquiring motion information from the texture information by a motion target detection method, rebuilding all depth pixel points in the mapped depth pixel images by using the depth information and/or the motion information to acquire a background image layer image and one or more foreground image layer images; and coding the background image layer image and the foreground image layer images respectively, wherein the depth information and the texture information are coded respectively. The invention also discloses a decoding method for the three-dimensional video, a coder and a decoder. The coding method is particularly suitable for coding a multi-viewpoint video sequence with a stationary background, can enhance prediction compensation accuracy and decreases code rate on the premise of ensuring subjective quality.

The present invention discloses a high dynamic range imager circuit and a method for reading high dynamic range image with an adaptive conversion gain. The high dynamic range image circuit includes a variable capacitor. The capacitance of the variable capacitor is adjusted according to sensed light intensity or by internal feedback control, to adaptively adjust the conversion gain of the high dynamic range image circuit as it reads a signal which relates to a pixel image sensed by an image sensor device. In each cycle, the signal can be read twice or more with different dynamic ranges, to enhance the accuracy of the signal.

An imaging system comprises an image detection unit (52) and a filter unit (58). Pixel image signals are passed in parallel from the image detection unit (52) to the filter unit (58). Circuit elements within each pixel (56) generate pixel image signal whose amplitude is proportional to the logarithm of the image intensity at that pixel. The filter unit (58) carries out a spatial filtering operation and outputs the result.

The invention discloses a spatial circle geometrical parameter dual-eye solid visual measurement method suitable for non-contact type online measurement of the spatial circle geometrical parameter of an industrial product, aiming at overcoming the existing problems of low measurement precision, slow measurement speed and low automation degree. The method is divided into a calibrating stage, an image processing stage and a spatial circle fitting stage. A neural network technique is firstly adopted to carry out the calibration of a camera; a dual-camera is utilized to carry out the extraction of sub-pixel image edges of the spatial circle, a simple algorithm is developed based on the image gray gradient distribution characteristic so as to realize the match of edge points, the practical 3D spatial coordinates of the circle edges are then obtained, and the geometrical parameters of the spatial circle comprise radius, position of center of circle and orientation of the plane where the spatial circle is arranged are gained by the fitting of the spatial circle with corresponding mathematical geometrical knowledge. The spatial circle geometrical parameter dual-eye solid visual measurement method has fast image processing speed and high automation degree, and has relative measurement error of the spatial circle of superior to plus or minus 0.6% when the plane where the spatial circle is arranged has an angle of about 50 DEG with the image plane.

The invention relates to a hybrid image processing method of extracting the centric line of the structured-light stripe based on the ROI area, belonging to the field of machine vision technique. By combining the image threshold processing, communicated components extraction, shape factor constraint and expansion method, the invention automatically divides the structured light area as the ROI area of light stripe extraction, using the extraction method of fringe center based on Hessian matrix to realize the extraction of sub-pixel image space of the centric line of the structured-light stripe of the ROI area. The method has the advantages of high precision, good robustness, high automation degree and other advantages, avoiding the large formwork Gaussian convolution calculation of the pixel the non-light stripe area, thereby reducing the redundant calculation of the extraction of the structured light stripe and realizing the high speed and precision extraction of the centric line of the light stripe, laying a foundation for the real-time application of the structured light 3D vision measurement.

A display device (40) comprising: a display panel (41) comprising a set of pixels (41R, 41L) the pixels being spatially distributed over the display panel, and each pixel being for providing a light output, the set of pixels comprising a plurality of different subsets (411) of pixels, each subset of pixels comprising one or more pixels of the set of pixels, an imaging unit (42) arranged for imaging the one or more pixels of a subset of pixels to form pixel images on a plurality of view areas on an imaginary plane located at a first distance in front of the display, the plurality of view areas not overlapping each other, with at least one pixel image of each one of the different subsets of pixels overlapping on a same one of the plurality of view areas, the imaginary plane comprising an imaginary circle having the diameter of the pupil of an eye, and the imaginary circle enclosing at least a part of at least two of the plurality of view areas, where the at least two of the plurality of view areas at least partly enclosed within the imaginary circle differ from each other with respect to at least one of the pixel images therein. The display system may be for one eye only or for two eyes of a viewer or for more eyes of more viewers.

The invention discloses a fabric defect detection method based on a deep convolution neural network and visual saliency, which belongs to the technical field of image processing. A defect region positioning module and a defect semantic segmentation module are included. The defect region positioning module uses two deep learning models of a local convolution neural network and a global convolutionneural network for fusion, advanced features of a fabric defect are extracted automatically and act on a defect image, and precise positioning of the defect region is acquired. The defect semantic segmentation module uses the defect region positioning result, a super pixel image segmentation method based on visual saliency is combined, a defect prior foreground point is acquired, a defect target is precisely segmented, and defect detection is finally realized. The multi-deep learning-fused fabric defect positioning network and the improved fabric defect segmentation network based on the visualsaliency are used, the adaptability to the fabric image is good, the precision is high, and defects in the fabric image under a complex background and noise interference can be effectively detected.

A two-dimensional image projection device using array of micromirror array lenses and a random scanning technique is invented. Using the random scanning technique, the light efficiency is nearly doubled than that of the prior art. The invention makes a brighter and less power consuming display device possible. Because each micromirror array lens of array of micromirror array lenses can scan whole image plane, a fast self diagnosis and correction technique can be introduced in displaying device. The Self diagnosis and correction technique makes display device to maintain image quality even a few tens percent of micromirrors do not work properly. Owing to the scanning characteristics of micromirror array lens, the image projection device can express the same number of pixels image with less number of micromirrors than the prior art. This also enables small sized two-dimensional image projector, which can be incorporated in portable electronic equipments.

A weather monitoring, measuring and reporting system which uses unattended, high-resolution digital cameras and laser rangers to both measure and display weather conditions in a local region, such as the region surrounding an airport. Visibility is estimated by processing images in the camera's field of view at known range distances. The light response of the camera is matched to the light response of the human eye. In a preferred embodiment of the invention, the camera generates a digital pixel image of range objects; that is, prominent terrain objects such as, buildings, water towers, etc. in the camera's field of view. The digital pixel values of these range objects are stored in system memory at known address locations. The contrast between an average background pixel value in a region adjacent to an object and the average object pixel value is used to determine if the object is visible. Objects in the field of view are sequentially examined until the contrast to an object falls below the established threshold at which point the visibility is reported as extending to the next closest object with a contrast above the threshold. If the contrast for all objects exceeds the threshold, the process stops and the visibility range is reported as unlimited.

The invention relates to the field of internet electronic commerce, in particular to a commodity similarity calculation method and a commodity recommending system based on image similarity. The method includes: preprocessing a target image, to be specific, removing image differences caused by changes in light conditions such as brightness and chromatic aberration; processing the target image to detect a foreground frame; converting a community image in the foreground frame into pixel images different in scale by means of bilinear interpolation, and acquiring attribute features, in different dimensions, of the commodity image in the foreground frame under different scales; calculating attribute feature similarities, under different scales, between an attribute feature vector of the commodity image in the foreground frame and an attribute feature vector of a commodity sample image; according to a decision forest model and the attribute feature similarities under different scales, calculating commodity image similarities, under the pixel images of different scales, between the commodity image in the foreground frame and the commodity sample image; using the commodity image as a uniform identifier of a commodity on different commercial platforms. The commodity similarity calculation method and the commodity recommending system have the advantage that reliability of the system is greatly improved.

The invention provides an image-based method for generating novel visual appearance in a new image. Synthetic texture is stitching together from small patches in existing images. First, we use a least cost path determination to determine the local boundaries between the patches. Second, we perform texture transfer by rendering an arbitrary object with a synthetic texture taken from a different object. More generally, we provide methods for rendering entire images in styles of different images. The method works directly on pixel images, and does not require 3D information.

A solid-state imaging device has a single plate structure and is capable of imaging of visible light and infrared light. While imaging of the visible light and the infrared light is performed by the imaging device every one-frame scanning period, an IR pulse is emitted, every other one-frame scanning period, to a space to be shot. A visible-light image is produced every one-frame scanning period. A range image from which influence to be caused by infrared component of the ambient light is removed is produced every other one-frame scanning period by subtracting an IR pixel image (S2IR), which is obtained by imaging of non-emission time of the IR pulse, from an IR pixel signal (S1IR), which is obtained by imaging of emission time of the IR pulse.

The invention relates to a video image preprocessor based on the FPGA, which belongs to the safe monitoring field. The video image preprocessor based on the FPGA is characterized in that the video image preprocessor is composed of an image preprocessing module and an FIFO buffering module which are connected. The input terminal of the image preprocessing module is connected with a video image data and a synchronization signal, and the output terminal of the FIFO buffering module outputs the processed video image data and DSP data to read an application signal. The video image preprocessor realizes the real-time preprocessing function of the video image data of the image sensor with a high resolving power which is more than 2 million, solves the problem of transmission bottleneck at video gathering port when the video image data is processed by the DSP and has the advantages that the realization is simple, the compatibility is strong, the stability is high, and the upgrading and the modification are convenient etc., thus the video image preprocessor based on the FPGA can be widely applied in the video monitoring system adopting a large pixel image sensor.

A shared photodetector active pixel sensor uses a single photodetector between two different active pixels. The photodetector has a number of connection portions, which allow connecting to the different photodetector portions.