248 results about "Pixel correlation" patented technology

Systems and methods for generating pixel based depth estimates are disclosed. An image processing system operating as depth analysis engine generates an estimated depth associated with a pixel based on a reference image and other related images. A current depth estimate is refined based on neighboring pixels and calculated consistency scores. Further, depth estimates can be levered in object or scene recognition to trigger or initiate an action taken by a computing device.

A method and Electro-Optical (EO) system for processing imagery comprising selecting a first frame of data as a template frame; capturing a second frame of data using the EO system, for a plurality of pixels of the second frame, correlating the plurality of pixels of the second frame with pixels of the template frame to generate a plurality of shift vectors, one for each pixel of the plurality of pixels of the second frame, registering the second frame with the template frame by interpolating the second frame using the plurality of shift vectors and re-sampling at least a portion of the second frame to produce a registered frame, re-sampling the template frame, and combining the re-sampled template frame and the registered frame to generate an averaged frame.

An image projecting device and method are presented. The device comprises a light source system operable to produce a light beam to impinge onto an active surface of a spatial light modulator (SLM) unit formed by an SLM pixel arrangement; and a magnification optics accommodated at the output side of the SLM unit. The light beam impinging onto the SLM pixel arrangement has a predetermined cross section corresponding to the size of said active surface. The SLM unit comprises first and second lens' arrays at opposite sides of the pixel arrangement, such that each lens in the first array and a respective opposite lens in the second array are associated with a corresponding one of the SLM pixels

The present invention provides a scheme for compressing the color components of image data, and in particular, data used in multi-sampled anti-aliasing applications. Adjacent pixels are grouped into rectangular tiles, with the sample colors stored in compressed formats accessible via an encoded pointer. In one embodiment, duplicate colors are stored once. Unlike prior compression schemes that rely on pixel to pixel correlation, the present invention takes advantages of the sample to sample correlation that exists within the pixels. A memory and graphics processor configuration incorporating the tile compression schemes is also provided. The configuration defines the tile sizes in main memory and cache memory. In one embodiment, graphics processor relies on a Tile Format Table (TFT) to process incoming tiles in compressed formats. The present invention reduces memory consumption and speeds up essential and oft-repeated operations in rendering. Thus it is valuable in the design and manufacture of graphic sub-systems.

A collimator for collimating high-energy photons, which may be used in medical imaging (e.g., nuclear medicine). The collimator has holes through the thickness (height) of the collimator, with the holes arranged in groups or clusters. The collimator may be used with a detector having an array of pixels, wherein each group of holes may be associated with a corresponding pixel, thereby providing multiple collimator holes per pixel. In one embodiment, each group of holes has septa of a given width separating the holes in that group, and each group of holes is separated from neighboring groups by septa of another, greater width. In another embodiment, the intra-group septa may be recessed from the top and/or bottom surface(s) of the collimator such that these septa have a smaller thickness (height) than the inter-group septa.

A method for neutral pixel detection using color space feature vectors wherein one color space coordinate represents lightness is provided. The method includes the following steps: a) receiving an input image represented in a first color space; b) converting the input image to a second color space wherein one coordinate represents lightness; c) selecting a pixel in the second color space representation to be classified; d) computing second color space feature vectors associated with the selected pixel; and e) classifying the selected pixel between neutral and color classes based on the values computed for the second color space feature vectors. Typically, the input image is processed using a smoothing filter to create a smoothed input image prior to the conversion to the second color space. The method can be adapted to page processing or strip processing schemes with respect to the input image.

The invention discloses an image semantic segmentation model generation method and device, equipment and a storage medium. The method comprises the steps of obtaining an image sample set; using the image sample set to train an image semantic segmentation model; wherein the image semantic segmentation model comprises a feature map extraction part and a feature map analysis part, the feature map extraction part comprises a plurality of cascaded hole convolution processing residual error modules, and the feature map analysis part is constructed based on an attention mechanism, a pixel correlationmechanism and multi-scale information. According to the technical scheme provided by the embodiment of the invention, the attention mechanism is effectively utilized to learn the dependency relationship in spatial position and channel dimension, the feature expression capability is enhanced, the pixel correlation mechanism is utilized to make the segmentation result more accurate, and meanwhile,the multi-scale feature information is also utilized to learn a global scene to improve the accuracy of pixel point classification.

A CMOS image sensor is provided. In the CMOS image sensor, a pixel array has a plurality of first color pixels, a plurality of second color pixels and a plurality of third color pixels, which are arranged in matrix form. A CDS (correlated double sampling) part has CDS circuits to receive output signals of the pixels, one CDS circuit per column being provided. A plurality of analog data buses receive divided output signal of the CDS circuits. An ASP (analog signal processor) is connected to the plurality of analog data buses.

An over sampled image sensor in which the pixel size is small enough to provide spatial oversampling of the minimum blur size of the sensor optics is disclosed. Image processing to detect targets below the typical limit of 6× the temporal noise floor is also disclosed. The apparatus is useful in detecting dimmer targets and targets at a longer range from the sensors. The inventions exploits signal processing, which allows spatial temporal filtering of the superpixel image in such manner that the Noise Equivalent Power is reduced by a means of Superpixel Filtering and Pooling, which increases the sensitivity far beyond a non-oversampled imager. Overall visual acuity is improved due to the ability to detect dimmer targets, provide better resolution of low intensity targets, and improvements in false alarm rejection.

A correlation function peak finding method for an image correlation displacement sensing system is provided. The method may include capturing a reference image and a displaced image, and searching for an initial peak correlation function value point (CFVP) with pixel-level resolution based on correlating the reference image and displaced images at a plurality of offset positions. Then a complete set of CFVPs may be determined at each offset position in an analysis region surrounding the initial peak CFVP. Then a preliminary correlation function peak location is estimated with sub-pixel resolution, based on CFVPs included in the analysis region. Finally, curve-fitting operations are performed to estimate a final correlation function peak location with sub-pixel accuracy, wherein the curve-fitting operations apply a windowing function and/or a set of weighting factors that is/are located with sub-pixel resolution based on the preliminary sub-pixel correlation function peak location.

A method and apparatus for adaptive interpolation filtering for image compression is disclosed. The method includes determining an activity measure associated with a set of pixels neighboring a pixel undergoing intraframe prediction or a distance measure between at least one pixel in the set of pixels and the pixel undergoing intraframe prediction, and selecting a filter for filtering at least a portion of the set of pixels in accordance with the at least one of the activity measure or the distance measure.

A method of analyzing a fingerprint, the method comprising the step of acquiring a fingerprint image (20) together with the following steps:

• • performing filtering processing on the fingerprint image to estimate, for each pixel of the fingerprint image, a first frequency of the ridges (21) in the fingerprint, and using the first frequencies associated with the pixels of the fingerprint image to produce a first frequency map (22) of the fingerprint image;
  • subdividing the fingerprint image into a plurality of windows each comprising a plurality of pixels, calculating a Fourier transform for each window in order to estimate a second frequency of the ridges for all of the pixels in said window, and using the second frequencies associated with the pixels of the windows to produce a second frequency map of the fingerprint image; and
  • merging the first frequency map and the second frequency map in order to obtain a map of consolidated frequencies of the fingerprint image.

An image index algorithm based on information abrupt includes converting color data of sample image inputted by user from GRB space to be HSV space and making normalized treatment on it then carrying out initial division on image according to pixel correlation degree and information abrupt, carrying out circulating combination as per similarities of divided pixel blocks, dividing image to be 3x3 subblock and extracting out feature vectors of nine regions separately, selecting interested region from nine regions by user and comparing it with image to be indexed on their proceed similarities to obtain index result of proceed image.

An image processing apparatus includes: a display section having the function of detecting a position touched by a pointer; an icon display control section for identifying a pixel of interest which is a pixel associated with the position of the pointer from among pixels forming an image displayed at the display section and displaying an icon for indicating the pixel of interest on the image displayed at the display section; and an image processing section for generating an image focused in a part thereof associated with the pixel of interest using distance data associated with the pixels forming the image.

The invention discloses a three-dimensional measurement method and system based on color random binary coded structure lighting, can reduce influence of color crosstalk on three-dimensional reconstruction and can realize full-resolution dynamic 3D measurement with higher measurement accuracy and higher spatial resolution. The method comprises steps that three grayscale random binary coded images with different pattern distributions are generated respectively; a color random binary coded structure light image is acquired; the acquired color random binary coded structure light image is projectedonto a surface of a measurement target; left and right deformation color coded images after profile modulation by the measurement target are acquired; three left/right deformation grayscale coded images are respectively acquired through separation; pixel correlation matching of the three left/right deformation grayscale coded images acquired through separation is carried out to acquire parallax data, based on the binocular stereo vision principle and the parallax data, three-dimensional reconstruction of the measurement target is carried out to acquire three-dimensional coordinate data of themeasurement target surface.

What is disclosed is a system and method for encoding and decoding chrominance values of a digital images. In one example embodiment, a digitized image comprising a plurality of pixels is received. A degree of chrominance precision is determined for a selected pixel based upon the luminance level associated with the selected pixel. Each of the chrominance values for the selected pixel are quantized based upon the chrominance precision. The quantized chrominance values for the selected pixel are then output. In such a manner, pixels associated with high or low luminance levels have chrominance values that are encoded with less precision than pixels associated with intermediate luminance levels. Varying the degree of precision of chrominance encoding corresponds directly to observed human-eye sensitivity where determining an exact color or hue of very bright or dark patches can be difficult relative to patches having an intermediate brightness. Various embodiments have been disclosed.