Patent application number | Description | Published |
20120076405 | AUTOMATIC DETECTION OF CALIBRATION CHARTS IN IMAGES - Methods and apparatuses for locating an embedded color chart in an image are described. In one exemplary method, an image that includes an embedded color chart is located without the intervention of the user. The embedded color chart is verified and used to create a color profile of the image. Furthermore, the orientation angle of the color chart is determined and the image orientation is fixed based on this angle. | 03-29-2012 |
20120176401 | Gesture Mapping for Image Filter Input Parameters - This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines. | 07-12-2012 |
20120242852 | Gesture-Based Configuration of Image Processing Techniques - This disclosure pertains to apparatuses, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image filters, while simultaneously setting auto exposure, auto focus, auto white balance, and/or other image processing technique input parameters based on the appropriate underlying image sensor data in a way that provides a seamless, dynamic, and intuitive experience for both the user and the client application software developer. Such techniques may handle the processing of image filters applying location-based distortions as well as those image filters that do not apply location-based distortions to the captured image data. Additionally, techniques are provided for increasing the performance and efficiency of various image processing systems when employed in conjunction with image filters that do not require all of an image sensor's captured image data to produce their desired image filtering effects. | 09-27-2012 |
20130195353 | Digital Image Color Correction - Systems, methods, and computer readable media for performing color correction operations to address memory color artifacts in a manner suited for real-time operations. In general, techniques are disclosed for correcting memory color rendering artifacts in an image without performing color space conversions. In one implementations, hue-saturation-value (HSV) image correction values may be expressed solely in terms of an image's base red-green-blue (RGB) color space values. Once expressed in this manner, color correction may be applied to the image directly—without the need to convert the image's color space into and out of a working color space (e.g., an HSV color space). As no color space conversions are necessary, the disclosed techniques are well-suited to real-time operations. | 08-01-2013 |
20130201349 | DIGITAL CAMERA RAW IMAGE SUPPORT - RAW camera images may be processed by a computer system using either a particular application or a system level service. In either case, at least some parameters needed for the processing are preferably separated from the executable binary of the application or service, and are provided in separate, non-executable, data-only files. Each of these files can correspond to a particular camera or other imaging device. When a user of the system attempts to open a RAW image file from an unsupported device, the local system may contact a server for on-demand download and on-the-fly installation of the required support resource. | 08-08-2013 |
20130215141 | Using Render-Graph Characteristics to Optimize the Rendering of an Adjusted Image - A technique for optimizing the rendering of such complex render-graphs caches intermediate buffers of nodes that are expected to be re-used after they've been rendered. The render-graph is examined to determine the number of re-uses of each node's output buffer, and the buffer is cached in memory until all the re-uses of the buffer have occurred. Once all the re-uses of the buffer have occurred, the buffer is removed from the cache. This technique guarantees that for a given render-graph, no nodes will be re-rendered, resulting in improved render performance. | 08-22-2013 |
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 |
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 |
20130328898 | Render Tree Caching - GPU fragment programs can be used to render images in a computer system. These fragment programs are generated from render trees, which specify one or more filters or functions to be applied to an input image to render an output image. It is not uncommon for successive frames to require application of substantially the same filters. Therefore, rather than regenerate and recompile new fragment programs for successive corresponding render trees, the render trees are substantially uniquely identified and cached. Thus, when a render tree is received, it can be identified, and this identifier (such as a hash) can be used to determine whether a corresponding fragment program has already been generated, compiled and cached. If so, the corresponding cached fragment program is retrieved and executed. If not, a fragment program for the newly received render tree is generated and cached. | 12-12-2013 |
20140240539 | GESTURE MAPPING FOR IMAGE FILTER INPUT PARAMETERS - This disclosure pertains to systems, methods, and computer readable medium for mapping particular user interactions, e.g., gestures, to the input parameters of various image processing routines, e.g., image filters, in a way that provides a seamless, dynamic, and intuitive experience for both the user and the software developer. Such techniques may handle the processing of both “relative” gestures, i.e., those gestures having values dependent on how much an input to the device has changed relative to a previous value of the input, and “absolute” gestures, i.e., those gestures having values dependent only on the instant value of the input to the device. Additionally, inputs to the device beyond user-input gestures may be utilized as input parameters to one or more image processing routines. For example, the device's orientation, acceleration, and/or position in three-dimensional space may be used as inputs to particular image processing routines. | 08-28-2014 |