Patent application number | Description | Published |
20100066849 | ADAPTIVE BINNING METHOD AND APPARATUS - An image processing method and device are described. The method includes the steps of capturing the contents a scene in a first pass ( | 03-18-2010 |
20110097011 | MULTI-RESOLUTION IMAGE EDITING - Visual elements of a first image are changed in accordance with an image editing process to produce an edited high-resolution image and visual elements of a second image are modified in accordance with an emulator process to produce a modified low-resolution image. The emulator process produces the modified low-resolution image with visual changes relative to the second image that mimic perceived visual changes made to the visual elements of the first image by the image editing process to produce the edited high-resolution image. The emulator process is built from a set of one or more image enhancement processes in accordance with an optimization process. | 04-28-2011 |
20110145249 | CONTENT GROUPING SYSTEMS AND METHODS - A method of grouping a plurality of media content is provided. The method includes converting at least a portion of the media content into at least one document object model (“DOM”) using a processor. The DOM can include a plurality of block elements, each comprising at least one content object. The method includes apportioning the content objects into a relevant portion and an irrelevant portion and extracting a set of keywords, the set comprising at least one keyword, within the relevant portion of the content objects. The method includes apportioning the relevant portion of the content objects into a related portion and an unrelated portion using at least a portion of the set of keywords and grouping the related portion of the content to provide a group of related content. | 06-16-2011 |
20110292219 | APPARATUS AND METHODS FOR IMAGING SYSTEM CALIBRATION - A reference set of image features is determined from an electronic data file specifying a reference image in a reference coordinate space. Rendering information describing a physical rendering of the reference image is ascertained. Calibration-enabling data is derived from the reference set of the image features and the ascertained rendering information. The calibration-enabling data is provided to calibrate an imaging system. The calibration-enabling data may be stored. The imaging system may capture an image of the physical rendering of the reference image in relation to a capture coordinate space. An extracted set of image features may be extracted from the captured image. Respective ones of the image features in the reference and extracted sets may be matched. The imaging system may be calibrated based on matched ones of the image features and the rendering information. | 12-01-2011 |
20120069195 | Pattern of Color Codes - A pattern includes a spatial configuration of color codes. Each color code is a unique configuration of colors selected from a number of basis colors. The color codes each include the same number of colors. | 03-22-2012 |
20120076423 | NEAR-DUPLICATE IMAGE DETECTION - A system and a method for near-duplicate image detection performed by a physical computing system includes applying a feature determining function to a number of images, a feature being defined by a geometric shape, comparing characteristics of said geometric shapes defining said features from at least two of said number of images, and characterizing said at least two of said number of images as a near-duplicate match if a predetermined percentage of said features of said at least two images match. | 03-29-2012 |
20120093408 | ORDINAL AND SPATIAL LOCAL FEATURE VECTOR BASED IMAGE REPRESENTATION - A local image patch identified in an image is divided into respective sub-patches of respective image forming elements. For each of the respective image forming elements in the local image patch, a respective ordinal rank of the image forming element is determined, and respective contributions of the image forming element to a particular one of the respective sub-patches containing the image forming element and to one or more other ones of the respective sub-patches neighboring the particular sub-patch are ascertained. Each ordinal rank corresponds to a respective dimension of an ordinal rank feature space. For each of the respective sub-patches of the local image patch, a respective histogram of ascertained contributions of the image forming elements in the ordinal rank feature space is built. A respective feature vector representing the local image patch is generated from the respective histograms built for the sub-patches of the local image. | 04-19-2012 |
20120212772 | METHOD AND SYSTEM FOR PROVIDING PRINT CONTENT TO A CLIENT - A request for print content is received at a network server system. The request includes variable user input. Webpage content is obtained based at least in part on the variable user input. A subset of the webpage content is identified as print content. A print-ready layout of the print content is formed and the print content in the print-ready layout is provided, via network connection, to a client in response to the request. | 08-23-2012 |
20120246552 | PROVIDING A PARTICULAR TYPE OF UNIFORM RESOURCE LOCATOR - Examples disclosed herein are example systems and methods to provide a particular type of uniform resource locator. In one example, a processor identifies webpage source code associated with a list of text associated with the type of uniform resource locator. The processor may identify a uniform resource locator within the identified webpage source code and provide the uniform resource locator. | 09-27-2012 |
20130061132 | SYSTEM AND METHOD FOR WEB PAGE SEGMENTATION USING ADAPTIVE THRESHOLD COMPUTATION - A system and method for an adaptive threshold Web Page segmenting is disclosed. In one embodiment, a method performed by a physical computing system having one or more processors for segmenting a Web page including a plurality of nodes includes parsing content in the Web page into the plurality of nodes using the physical computing system, obtaining feature values between each pair of nodes using the physical computing system, estimating an adaptive threshold value using the obtained feature values using the physical computing system, and segmenting the Web page by comparing the feature values associated with each pair of nodes with the estimated adaptive threshold value. | 03-07-2013 |
20130091150 | DETERMIINING SIMILARITY BETWEEN ELEMENTS OF AN ELECTRONIC DOCUMENT - Disclosed is a computer-implemented method of determining smarty between first and second elements of an electronic document. The method uses a computer to calculate a plurality of measures of similarity between the first and second elements in at least two representations of the electronic document. A computer program product and system implementing this method are also disclosed. | 04-11-2013 |
20130094780 | Replacement of a Person or Object in an Image - Disclosed herein are a system and a method that use a background model to determine and to segment target content from an image and replace them with different content to provide a composite image. The background model can be generated based on image data representing images of a predetermined area that does not include traversing content. The background model is compared to image data representing a set of captured images of the predetermined area. Based on the comparison, portions of an image that differs from the background model are determined as the traversing content. A target content model is used to determine the target content in the traversing content. The target content determined in the images is replaced with different content to provide a composite image. | 04-18-2013 |
20130114105 | Semantically Ranking Content in a Website - Semantically ranking content in a website ( | 05-09-2013 |
20130124684 | VISUAL SEPARATOR DETECTION IN WEB PAGES USING CODE ANALYSIS - A method for detection of visual separators in web pages using code analysis includes receiving a web page and its associated web code by a web page analysis device and analyzing the web code to detect visual separators in the web page. A web page analysis device for visual separator detection in web pages is also provided. | 05-16-2013 |
20130124953 | PRODUCING WEB PAGE CONTENT - A method for producing web page content includes identifying blocks within a web page. The blocks are selectively assembled into sections. The sections are selectively assembled into article candidates. An article candidate that includes article content is distinguished from article candidates that do not include article content. Content is produced only from the article candidate distinguished as including article content. | 05-16-2013 |
20130145255 | SYSTEMS AND METHODS FOR FILTERING WEB PAGE CONTENTS - A system and method for selectively filtering web page contents are disclosed. In one example embodiment a document object model (DOM) structure and visual information of the web page contents are generated. The document object model (DOM) structure and the visual information are analyzed to determine multiple web page content attributes. One or more filtering parameters are selected from the multiple web page content attributes. The web page is filtered based on the one or more filtering parameters. | 06-06-2013 |
20130159889 | Obtaining Rendering Co-ordinates Of Visible Text Elements - A computer-implemented method for obtaining the rendering co-ordinates of visible text elements on a web page is disclosed. The web page is represented by an input data structure comprising a plurality of text nodes, each of which represents a text element on the web page. The method comprises the following steps:
| 06-20-2013 |
20130275577 | Selecting Content Within a Web Page - A method of selecting content within a web page (FIG. | 10-17-2013 |
20130275854 | Segmenting a Web Page into Coherent Functional Blocks - Segmenting a web page ( | 10-17-2013 |
20130275859 | Creating Applications for Popular Web Page Content - A method of creating an application for the popular selection of content on a web page (FIG. | 10-17-2013 |
20130275889 | Selecting Web Page Content Based on User Permission for Collecting User-Selected Content - A method, system, and computer program product for selecting web page content based on user permission for collecting user-selected content within web pages (FIG. | 10-17-2013 |
20130283148 | Extraction of Content from a Web Page - A system and method are provided for extracting main content from a web page. Web page segmentation is performed on a web page to provide affinity-grouped segments. Descriptive features of at least one of the affinity-grouped segments are computed. At least one of the affinity-grouped segments is classified as a main body segment based on the computed descriptive features. Additional affinity-grouped segments are classified as to a document function based on the computed descriptive features. Classified affinity-grouped segments are assembled according to their classified document functions to provide the main content. | 10-24-2013 |
20130321671 | SYSTEMS AND METHOD FOR REDUCING FIXED PATTERN NOISE IN IMAGE DATA - The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may be configured to receive a frame of the image data having a plurality of pixels acquired using a digital image sensor. The image processing pipeline may then be configured to determine a first plurality of correction factors that may correct each pixel in the plurality of pixels for fixed pattern noise. The first plurality of correction factors may be determined based at least in part on fixed pattern noise statistics that correspond to the frame of the image data. After determining the first plurality of correction factors, the image processing pipeline may be configured to configured to apply the first plurality of correction factors to the plurality of pixels, thereby reducing the fixed pattern noise present in the plurality of pixels. | 12-05-2013 |
20130321672 | SYSTEMS AND METHODS FOR COLLECTING FIXED PATTERN NOISE STATISTICS OF IMAGE DATA - The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may collect statistics associated with fixed pattern noise of image data by receiving a first frame of the image data comprising a plurality of pixels. The image processing pipeline may then determine a sum of a first plurality of pixel values that correspond to at least a first portion of the plurality of pixels such that each pixel in at least the first portion of the plurality of pixels is disposed along a first axis within the frame of the image data. After determining the sum of the first plurality of pixel values, the image processing pipeline may store the sum of the first plurality of pixel values in a memory such that the sum of the first plurality of pixel values represent the statistics. | 12-05-2013 |
20130321673 | Systems and Methods for Determining Noise Statistics of Image Data - The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may compute noise statistics associated with image data by receiving a frame of the image data having a plurality of pixels. The image processing pipeline may then identify a plurality of portions of the frame of the image data such that each portion of the plurality of portions has a flat surface. The image processing pipeline may then calculate a plurality of gradients for each portion of the plurality of portions, determine one or more dominant gradient orientations for each portion of the plurality of portions, and generate a histogram that represents a plurality of dominant gradient orientations that corresponds to the plurality of portions. After generating the histogram, the image processing pipeline may store the histogram, which may represent the noise statistics, in a memory. | 12-05-2013 |
20130321676 | Green Non-Uniformity Correction - Systems and methods for correcting green channel non-uniformity (GNU) are provided. In one example, GNU may be corrected using energies between the two green channels (Gb and Gr) during green interpolation processes for red and green pixels. Accordingly, the processes may be efficiently employed through implementation using demosaic logic hardware. In addition, the green values may be corrected based on low-pass-filtered values of the green pixels (Gb and Gr). Additionally, green post-processing may provide some defective pixel correction on interpolated greens by correcting artifacts generated through enhancement algorithms. | 12-05-2013 |
20130321677 | SYSTEMS AND METHODS FOR RAW IMAGE PROCESSING - Systems and methods for processing raw image data are provided. One example of such a system may include memory to store image data in raw format from a digital imaging device and an image signal processor to process the image data. The image signal processor may include data conversion logic and a raw image processing pipeline. The data conversion logic may convert the image data into a signed format to preserve negative noise from the digital imaging device. The raw image processing pipeline may at least partly process the image data in the signed format. The raw image processing pipeline may also include, among other things, black level compensation logic, fixed pattern noise reduction logic, temporal filtering logic, defective pixel correction logic, spatial noise filtering logic, lens shading correction logic, and highlight recovery logic. | 12-05-2013 |
20130321678 | SYSTEMS AND METHODS FOR LENS SHADING CORRECTION - Systems and methods for correcting intensity drop-offs due to geometric properties of lenses are provided. In one example, a method includes receiving an input pixel of the image data, the image data acquired using an image sensor. A color component of the input pixel is determined. A gain grid is determined by pointing to the gain grid in external memory. Each of the plurality of grid points is associated with a lens shading gain selected based upon the color of the input pixel. A nearest set of grid points that enclose the input pixel is identified. Further, a lens shading gain is determined by interpolating the lens shading gains associated with each of the set of grid points and is applied to the input pixel. | 12-05-2013 |
20130321679 | SYSTEMS AND METHODS FOR HIGHLIGHT RECOVERY IN AN IMAGE SIGNAL PROCESSOR - Image sensors have finite ranges of illuminance that may be captured. When the sensors for particular pixels receive an amount of light exceeding these finite ranges, the pixel values clip to the maximum pixel value. Systems and methods for estimating pixel values that are clipped or near clipping are provided. In one example, a method for processing image data includes determining that a first channel of the image data is saturated or near saturation. The method further includes computing a highlight recovery value for the first channel based upon alternative channels in the image data that are not saturated or near saturation. The highlight recovery value is applied to the first channel. | 12-05-2013 |
20130321700 | Systems and Methods for Luma Sharpening - Systems, methods, and devices for sharpening image data are provided. One example of an image signal processing system includes a YCC processing pipeline that includes luma sharpening logic. The luma sharpening logic may sharpen the luma component while avoiding sharpening some noise. Specifically, a multi-scale unsharp mask filter may obtain unsharp signals by filtering an input luma component, and sharp component determination logic may determine sharp signals representing differences between the unsharp signals and the luma component. Sharp lookup tables may “core” the sharp signals, which may prevent some noise from being sharpened. Output logic may determine a sharpened output luma signal by combining the sharp signals with, for example, luma component or one of the unsharp signals. | 12-05-2013 |
20130322745 | Local Image Statistics Collection - Systems and methods for generating local image statistics are provided. In one example, an image signal processing system may include a statistics pipeline with image processing logic and local image statistics collection logic. The image processing logic may receive and process pixels of raw image data. The local image statistics collection logic may generate a local histogram associated with a luminance of the pixels of a first block of pixels of the raw image data or a thumbnail in which a pixel of the thumbnail represents a downscaled version of the luminance of the pixels of the first block of the pixel. The raw image data may include many other blocks of pixels of the same size as the first block of pixels. | 12-05-2013 |
20130322746 | SYSTEMS AND METHODS FOR YCC IMAGE PROCESSING - Systems and methods for processing YCC image data provided. In one example, an electronic device includes memory to store image data in RGB or YCC format and a YCC image processing pipeline to process the image data. The YCC image processing pipeline may include receiving logic configured to receive the image data in RGB or YCC format and color space conversion logic configured to, when the image data is received in RGB format, convert the image data into YCC format. The YCC image processing logic may also include luma sharpening and chroma suppression logic; brightness, contrast, and color adjustment logic; gamma logic; chroma decimation logic; scaling logic; and chromanoise reduction logic. | 12-05-2013 |
20130322752 | SYSTEMS AND METHODS FOR CHROMA NOISE REDUCTION - Systems and methods for reducing chrominance (chroma) noise in image data are provided. In one example of such a method, image data in YCC format may be received into logic of an image signal processor. Using the logic, noise may be filtered from a first chrominance component or a second chrominance component, or both, of the image data, using a sparse filter and a noise threshold. The noise threshold may be determined based at least in part on two of the components of the YCC image data. | 12-05-2013 |
20130322753 | SYSTEMS AND METHODS FOR LOCAL TONE MAPPING - Systems and methods for local tone mapping are provided. In one example, an electronic device includes an electronic display, an imaging device, and an image signal processor. The electronic display may display images of a first bit depth, and the imaging device may include an image sensor that obtains image data of a higher bit depth than the first bit depth. The image signal processor may process the image data, and may include local tone mapping logic that may apply a spatially varying local tone curve to a pixel of the image data to preserve local contrast when displayed on the display. The local tone mapping logic may smooth the local tone curve applied to the intensity difference between the pixel and another nearby pixel exceeds a threshold. | 12-05-2013 |
20130329098 | Systems and Methods for Defective Pixel Correction with Neighboring Pixels - The present disclosure generally relates to systems and methods for image data processing. In certain embodiments, an image processing pipeline may detect and correct a defective pixel of image data acquired using an image sensor. The image processing pipeline may receive an input pixel of the image data acquired using the image sensor. The image processing pipeline may then identify a set of neighboring pixels having the same color component as the input pixel and remove two neighboring pixels from the set of neighboring pixels thereby generating a modified set of neighboring pixels. Here, the two neighboring pixels correspond to a maximum pixel value and a minimum pixel value of the set of neighboring pixels. The image processing pipeline may then determine a gradient for each neighboring pixel in the modified set of neighboring pixels and determine whether the input pixel includes a dynamic defect or a speckle based at least in part on the gradient for each neighboring pixel in the modified set of neighboring pixels. | 12-12-2013 |
20140010480 | SYSTEMS AND METHODS FOR STATISTICS COLLECTION USING CLIPPED PIXEL TRACKING - Systems and methods are provided for selectively performing image statistics processing based at least partly on whether a pixel has been clipped. In one example, an image signal processor may include statistics collection logic. The statistics collection logic may include statistics image processing logic and a statistics core. The statistics image processing logic may perform initial image processing on image pixels, at least occasionally causing some of the image pixels to become clipped. The statistics core may obtain image statistics from the image pixels. The statistics core may obtain at least one of the image statistics using only pixels that have not been clipped and excluding pixels that have been clipped. | 01-09-2014 |
20150071537 | Image Tone Adjustment using Local Tone Curve Computation - Image tone adjustment using local tone curve computation may be utilized to adjust luminance ranges for images. Image tone adjustment using local tone curve computation may reduce the overall contrast of an image, while maintaining local contrast in smaller areas, such as in images capturing brightly lit scenes where the difference in intensity between brightest and darkest areas is large. A desired brightness representation of the image may be generated including target luminance values for corresponding blocks of the image. For each block, one or more tone adjustment values may be computed, that when jointly applied to the respective histograms for the block and neighboring blocks results in the luminance values that match corresponding target values. The tone adjustment values may be determined by solving an under-constrained optimization problem such that optimization constraints are minimized. The image may then be adjusted according to the computed tone adjustment values. | 03-12-2015 |