| Patent application number | Description | Published |
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| 20080246978 | Image forming devices, hard imaging methods, and methods of determining a transfer function - Image forming devices, hard imaging methods, and methods of determining a transfer function are described. According to one embodiment, an image forming device includes an image engine configured to provide a marking agent upon media, processing circuitry configured to control the image engine to form a test image upon the media having a specified coverage of the marking agent and to access measurement data indicative of a measured coverage of the marking agent of the test image, storage circuitry configured to store data comprising associations of a plurality of specified coverage values of the marking agent and a plurality of resultant coverage amounts of the marking agent formed upon the media by the image engine corresponding to respective ones of the specified coverage values, and wherein the processing circuitry is further configured to access image data of an image to be formed to identify one of the specified coverage values of the marking agent to be formed upon the media to form the image, to modify the one specified coverage value using the stored data and the measurement data to provide an imaging coverage value, and to control the image engine using the imaging coverage value to form the hard image. | 10-09-2008 |
| 20080298704 | FACE AND SKIN SENSITIVE IMAGE ENHANCEMENT - Systems and methods of face and skin sensitive image enhancement are disclosed. In one aspect, a face map that includes for each pixel of an input image a respective face probability value indicating a degree to which the pixel corresponds to a human face is calculated. A skin map that includes for each pixel of the input image a respective skin probability value indicating a degree to which the pixel corresponds to human skin is ascertained. The input image is enhanced with an enhancement level that varies pixel-by-pixel in accordance with the respective face probability values and the respective skin probability values. In another aspect, a facial content measurement value indicating a degree to which an input image contains human face content is ascertained. A tone-correction process is tuned in accordance with the facial content measurement value. The input image is enhanced in accordance with the tuned tone-correction process. | 12-04-2008 |
| 20090015719 | Reducing motion blur from an image - A method for reducing blur from an image is described. The method includes accessing a blurred image, wherein the blurred image has a width and a length that can be different. The method further includes converting the blurred image into a frequency domain representation of the blurred image and determining an angle of blur from the frequency domain of the blurred image. The method further includes rotating the frequency domain representation of the blurred image by the angle of blur and determining a size of the blur from the rotated frequency domain representation of the blurred image. The method further includes determining a blur kernel associated with the blur, the blur kernel comprising the angle of blur and the size of said blur and de-convoluting the blurred image according to the blur kernel to reduce the blur. | 01-15-2009 |
| 20090080798 | PROCESSING AN INPUT IMAGE TO REDUCE COMPRESSION-RELATED ARTIFACTS - In a method for processing an input image to reduce compression-related artifacts, a plurality of block transforms of the input image having respective plurality of block-grid locations are generated, where each of the block-grid locations is shifted with respect to the block-grid locations in each of the other block transformed images. In addition, a plurality of respective intermediate transform domain filtered images having modified transform coefficients are generated. Per-pixel relative weights are assigned to each of the intermediate transform domain filtered images, where each of the intermediate transform domain filtered images has different contexts, and where the per-pixel relative weights are adaptive to the local context in each of the intermediate transform domain filtered images. Moreover, a weighted average of inverse-transforms of the intermediate transform domain filtered images from the per-pixel relative weights to produce an artifact-reduced image is calculated and the artifact-reduced image is outputted. | 03-26-2009 |
| 20090110323 | Method and system for dual-envelope image enhancement - Various embodiments of the present invention are directed to methods and systems for processing signals, particularly signals encoding two-dimensional images, such as photographs, video frames, graphics, and other visually displayed information. In various method embodiments of the present invention, an input image signal is decomposed into an upper-envelope function, a lower-envelope function, and a details function. One or both of the upper-envelope and lower-envelope functions are then modified to produce one or more image-enhancing effects when the modified upper-envelope and lower-envelope functions are recombined with the details function to produce an enhanced image signal. | 04-30-2009 |
| 20100246952 | METHOD AND SYSTEM FOR IMAGE RESTORATION IN THE SPATIAL DOMAIN - Method and system embodiments of the present invention are directed to restoration of corrupted images using spatial-domain image-processing methods that can effectively employ spatial-domain information both in order to avoid various types of artifacts and distortions produced by frequency-domain image-processing operations and to achieve computational efficiency. The various method and system embodiments of the present invention employ a family of penalty functions to constrain iterative restoration images corrupted by both deterministic corruptions, such as motion-induced blur and blurring due to optical misalignment, incorrect positioning of optical components, and defective optical components as well as essentially non-deterministic noise corruption introduced at various stages of image acquisition, image encoding, image storage, and image transmission. | 09-30-2010 |
| 20110069894 | IMAGE DEFECT DETECTION - Disclosed is a computer implemented method of detecting a defect in a printed image, the method comprising the steps of: receiving a target image comprising digital image data representing a scan of the printed image; receiving a reference image comprising digital image data representing a reference of the printed image; calculating a structural dissimilarity measure, D, associated with a target pixel located in the target image and a reference pixel located in the reference image; and, determining on the basis of the structural dissimilarity measure whether a defect is present at the target pixel, wherein the structural dissimilarity measure is calculated using a structural measure, s, and a contrast measure, c; the structural measure calculated using a spatial cross-correlation associated with a target region, {right arrow over (x)}, containing the target pixel and a reference region, {right arrow over (y)}, containing the reference pixel, and the contrast measure calculated using a standard deviation associated with the target region, and a standard deviation associated with the reference region. | 03-24-2011 |
| 20110202483 | Analyzing Events - Event analysis methods and apparatus in which sequences ( | 08-18-2011 |
