Class / Patent application number | Description | Number of patent applications / Date published |
382205000 | Local neighborhood operations (e.g., 3x3 kernel, window, or matrix operator) | 15 |
20090123077 | COEFFICIENT DETERMINING METHOD, FEATURE EXTRACTING METHOD, SYSTEM, AND PROGRAM, AND PATTERN CHECKING METHOD, SYSTEM, AND PROGRAM - [PROBLEMS] To provide a feature extracting method for quickly extracting a feature while preventing lowering of the identification performance of the kernel judgment analysis, a feature extracting system, and a feature extracting program. [MEANS FOR SOLVING PROBLEMS] Judgment feature extracting device ( | 05-14-2009 |
20090238468 | 2-D encoded symbol quality assessment - An 2-D symbol orientation guide with parallel and spaced right angle guidelines with chevron-like spaces provided therebetween is selectively displayed in plural selected dispositions on a monitor screen as an overlay for the display on the same monitor screen of a 2-D Data Matrix symbol. Manual rotation of the symbol is viewed on the monitor screen as the symbols solid line border is moved into alignment with a guide line at which time the symbol is imaged and its quality graded. Display of the orientation guide in at least five selected rotational dispositions, alignment of the symbol solid line border therewith and imaging and grading of the symbol quality in each such position provides multiple grade scores for averaging into an overall grade score. | 09-24-2009 |
20100158390 | PARALLEL PROCESSING FOR GENERATING A THINNED IMAGE - A thinned output image is generated from an input image. Values of pixels surrounding a pixel of interest in the input image are determined, and first and second neighboring pixel patterns surrounding the pixel of interest are established based on the values of the pixels surrounding the pixel of interest. The first neighboring pixel pattern may be compared to each of a set of purge patterns to determine whether to eliminate the pixel, and the second neighboring pixel pattern may be compared to each of a set of conservation patterns to determine whether to conserve the pixel. The comparisons to the purge and conservation patterns are performed for each pixel independently, and in parallel for all pixels of the input image. | 06-24-2010 |
20130163885 | INTERPOLATING SUB-PIXEL INFORMATION TO MITIGATE STAIRCASING - A surface model may be created from aerial photographs, while mitigating the staircase effect, by interpolating sub-pixel values in the photographs and using those sub-pixel values to calculate the offset between overlapping photographs. Aerial photographs are taken, which include overlapping regions. For a pair of photographs, the photographs are rectified to create coordinate systems in which the photographs have x-axes that coincide and y-axes that are parallel to each other, so that overlapping regions in one photograph are a fixed offset along the x-axis from the other photograph. Analytic functions are used to interpolate values between pixels, and the offset distance is calculated by finding the offset that maximizes a similarity function over the analytically interpolated values. The calculated offset may then be used to calculate the height of a point on the photographed surface. A surface model may be built by calculating the heights of many points. | 06-27-2013 |
20130301933 | METHOD AND DEVICE FOR GENERATING A SUPER-RESOLUTION VERSION OF A LOW RESOLUTION INPUT DATA STRUCTURE - The invention relates to an improved robustness in upscaling the resolution of regularly sampled multi-dimensional signals, where a single low-resolution signal is available. These methods are referred to as example-based super-resolution or single-image super-resolution. A method for super-resolving a single image comprises three stages. First, an interpolation-based up-scaling of the input image is performed, followed by a Local De-noising step in contour regions. The second stage comprises extrapolation through cross-scale block matching, wherein an extrapolated high-frequency band is obtained that is de-noised through regularization in the same contour regions. The third stage comprises adding the contributions of the low-frequency band of the high-resolution image and the extrapolated high-frequency band. | 11-14-2013 |
20140044363 | METHOD FOR EXTRACTING AN EPITOME FROM AN IMAGE - A method for extracting an epitome from an image Y is described. | 02-13-2014 |
20140099033 | FAST COMPUTATION OF KERNEL DESCRIPTORS - An approach to computation of kernel descriptors is accelerated using precomputed tables. In one aspect, a fast algorithm for kernel descriptor computation that takes O(1) operations per pixel in each patch, based on pre-computed kernel values. This speeds up the kernel descriptor features under consideration, to levels that are comparable with D-SIFT and color SIFT, and two orders of magnitude faster than STIP and HoG3D. In some examples, kernel descriptors are applied to extract gradient, flow and texture based features for video analysis. In tests of the approach on a large database of internet videos used in the TRECVID MED 2011 evaluations, the flow based kernel descriptors are up to two orders of magnitude faster than STIP and HoG3D, and also produce significant performance improvements. Further, using features from multiple color planes produces small but consistent gains. | 04-10-2014 |
20140193082 | IMAGE PROCESSING APPARATUS AND METHOD - According to one embodiment, an image processing apparatus includes following units. The selection unit selects a pixel from a target image. The first extraction unit extracts a first pixel region including the selected pixel. The second extraction unit extracts a second pixel region from a reference image. The determination unit determines a filter coefficient based on a similarity degree between the first and second pixel regions. The generation unit generates a display image by performing a weighted sum of the target image and a display image generated immediately before the target image, in accordance with the filter coefficient determined for each of the plurality of pixels of the target image. | 07-10-2014 |
20140212050 | SYSTEMS AND METHODS FOR PROCESSING AN IMAGE - A method for processing an image is described. Mask bits are determined for a current pixel. The mask bits indicate intensity comparisons between the current pixel and multiple neighboring pixels. The mask bits also indicate whether each of the current pixel's neighboring pixels have been processed. A next pixel is selected for processing based on the mask bits. | 07-31-2014 |
20140376819 | IMAGE RECOGNITION BY IMAGE SEARCH - One or more aspects of the subject disclosure are directed towards identifying objects within an image via image searching/matching. In one aspect, an image is processed into bounding boxes, with the bounding boxes further processed to each surround a possible object. A sub-image of pixels corresponding to the bounding box is featurized for matching with tagged database images. The information (tags) associated with any matched images is processed to identify/categorize the sub-image and thus the object corresponding thereto. | 12-25-2014 |
20150010240 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing apparatus for searching for corresponding points between a first image and a second image is provided. The image processing apparatus includes a window setting portion, a phase information extraction portion that extracts phase information by subjecting a representation included in each set window to frequency decomposition, a corresponding points determination portion that determines the corresponding points based on comparison of the phase information extracted from each window, and a window size control portion that causes the window setting portion to set a window different in size in accordance with a frequency used for calculation of the frequency decomposition. The window size control portion causes the window setting portion to set a window having a first size in response to a first frequency and to set a window having a second size smaller than the first size in response to a second frequency higher than the first frequency. | 01-08-2015 |
20150131915 | ADAPTIVE DENOISING WITH INTERNAL AND EXTERNAL PATCHES - In techniques for adaptive denoising with internal and external patches, example image patches taken from example images are grouped into partitions of similar patches, and a partition center patch is determined for each of the partitions. An image denoising technique is applied to image patches of a noisy image to generate modified image patches, and a closest partition center patch to each of the modified image patches is determined. The image patches of the noisy image are then classified as either a common patch or a complex patch of the noisy image, where an image patch is classified based on a distance between the corresponding modified image patch and the closest partition center patch. A denoising operator can be applied to an image patch based on the classification, such as applying respective denoising operators to denoise the image patches that are classified as the common patches of the noisy image. | 05-14-2015 |
20160092751 | OBJECT BASED IMAGE PROCESSING - A method includes receiving image data corresponding to an image and detecting an object represented within the image. The method further includes selecting a portion of the image data that corresponds to the object and determining object quality values based on the portion of the image data. The method also includes determining an object category corresponding to the object and accessing object category metrics associated with the object category. The method includes performing a comparison of the object quality values to the object category metrics associated with the object category and initiating an action based on the comparison. | 03-31-2016 |
20160125616 | APPARATUS AND METHOD OF DETECTING MOTION MASK - An apparatus for detecting a motion mask includes: an image processor configured to generate a plurality of image frames; a first motion mask detector configured to detect at least one first motion mask by calculating a local feature of each pixel included in a partial or entire area of at least one current image frame which indicates a pixel value relationship between the each pixel and at least one neighboring pixel, and comparing the calculated local feature with a local feature of a corresponding pixel of at least one previous image frame; a second motion mask detector configured to detect at least one second motion mask based on a difference between the partial or entire area of the current image frame and a corresponding area of the previous image frame; and a motion mask generator configured to generate a final motion mask comprising at least one of the first motion mask and the second motion mask. | 05-05-2016 |
20160180194 | SYSTEMS AND METHODS FOR IDENTIFYING A REGION OF AN IMAGE | 06-23-2016 |