Patent application number | Description | Published |
20100046829 | IMAGE STYLIZATION USING SPARSE REPRESENTATION - A computer-implemented method that includes segmenting a training image into training image patches, where each training image patch is represented by a linear combination of dictionary image patches from an image dictionary, and each dictionary image patch has a sparse representation coefficient. The method includes segmenting a stylized training image into stylized training image patches, where each stylized training image patch is represented by a linear combination of stylized dictionary image patches from a stylized image dictionary, and each stylized dictionary image patch has a sparse representation coefficient. The method also includes training the image dictionary with the training image patches and the stylized image dictionary with the stylized training image patches in a substantially simultaneous manner. The sparse representation coefficient for each training image patch is substantially similar to the sparse representation coefficient for the corresponding stylized training image patch. | 02-25-2010 |
20100054694 | COMBINED VISUAL AND AUDITORY PROCESSING - A computer-implemented method includes segmenting a plurality of video frames of a sequence of video frames into a first portion that includes a selected visual object represented in the video frame and a second portion that includes a background represented in the video frame. The selected visual object is selected by using a selection envelope. | 03-04-2010 |
20100067824 | IMAGE DECOMPOSTION - A computer-implemented method includes segmenting an input image into a plurality of image cues, each image cue representing a unique set of pixels of the input image. For each image cue, the method includes determining a set of image components, wherein each image component is associated with at least one adjustable factor to represent at least one characteristic of the image cue. | 03-18-2010 |
20120236020 | Methods and Apparatus for Performing Tone Mapping on High Dynamic Range Images - Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. The HDR image is separated into luminance and color. Luminance is processed according to the parameters to obtain a base layer and a detail layer. The base layer is compressed into a lower dynamic range and the detail layer is adjusted according to the parameters. The compressed base layer, the detail layer, and the color component may be output as separate layers, and various image processing tools and techniques may be applied to the component layers separately to modify the layer(s). One or more tone-mapped images may be generated by merging the modified layers. Thus, each layer of the tone-mapped image may be processed separately using various image processing tools or techniques to modify the output of the tone mapping technique in a wide variety of ways. | 09-20-2012 |
20130121566 | Automatic Image Adjustment Parameter Correction - Techniques are disclosed relating to modifying an automatically predicted adjustment. In one embodiment, the automatically predicted adjustment may be adjusted, for example, based on a rule. The automatically predicted adjustment may be based on a machine learning prediction. A new image may be globally adjusted based on the modified automatically predicted adjustment. | 05-16-2013 |
20130121572 | Methods and Apparatus for Tone Mapping High Dynamic Range Images - Methods, apparatus, and computer-readable storage media for tone mapping High Dynamic Range (HDR) images. An input HDR image is separated into luminance and color. Luminance is processed to obtain a base layer and a detail layer. The base layer is compressed according to a non-linear remapping function to reduce the dynamic range, and the detail layer is adjusted. The layers are combined to generate output luminance, and the output luminance and color are combined to generate an output image. A base layer compression technique may be used that analyzes the details and compresses the base layer accordingly to provide space at the top of the intensity scale where the details are displayed to thus generate output images that are visually better than images generated using conventional techniques. User interface elements may be provided via which a user may control one or more parameters of the tone mapping method. | 05-16-2013 |
20130121606 | Adaptive Bilateral Blur Brush Tool - A system and method for a blur brush performing adaptive bilateral filtering is disclosed. The method may include receiving user input selecting an area of an image to be filtered, such as by pointing to the image area using the blur brush. The selected image may comprise an edge and a plurality of pixels. The method may operate to the blur brush identifying the edge in the selected image area. The method may operate to apply a filter tool (e.g., a bilateral filter) to the selected image area, while preserving the edge. The methods may be implemented by program instructions executing in parallel on CPU(s) or GPUs. | 05-16-2013 |
20130124508 | SYSTEM AND METHOD FOR REAL-TIME IMAGE COLLECTION AND SHARING - Various embodiments of a system and methods for real-time image collection and sharing are described. A group of geographically co-located mobile device users may capture images on the mobile devices during a session. The devices may send the images, during the same session, to a database where the images may be stored as a real-time image collection. The image collection may be shared, during the same session, among the mobile device users. The users may receive notification of new images in the image collection based on user preferences. The users may request, from the image collection, images containing particular content by identifying the content on an image and sending a search request which includes the identified content. A computation server may maintain a data set which associates similar images in the image collection. The data set may be updated for each new image that is added to the image collection. | 05-16-2013 |
20130127903 | System and Method for Reducing the Appearance of Residuals in Gradient-Based Image Compositing - A system and method are proposed for performing gradient-based compositing in a manner that reduces the appearance of residual errors as compared to traditional techniques. In embodiments, a target gradient field may be determined for a composite image and a solution composite image may be sought which minimizes a weighted aggregate error between the gradient field of the composite image and the target gradient field. The weighted aggregate error may be calculated such that a greater weight is placed on residuals occurring in smooth regions than on those occurring in textured regions, since residuals in textured regions may be less noticeable. In some embodiments, a weighted aggregate error may be defined as a weighted least-squares sum and/or minimized by solving a weighted Poisson equation. The computational cost of solving the weighted Poisson equation may be mitigated by ensuring that the equation is linear. | 05-23-2013 |
20130129196 | Image Adjustment - Techniques are disclosed relating to automatically adjusting images. In one embodiment, an image may be automatically adjusted based on a regression model trained with a database of raw and adjusted images. In one embodiment, an image may be automatically adjusted based on a model trained by both a database of raw and adjusted images and a small set of images adjusted by a different user. In one embodiment, an image may be automatically adjusted based on a model trained by a database of raw and adjusted images and predicted differences between a user's adjustment to a small set of images and a predicted adjustment based on the database of raw and adjusted images. | 05-23-2013 |
20130132044 | Lens Modeling - Techniques are disclosed relating to lens modeling. In one embodiment, a lens model may be generated based on reference images of a pre-determined, known geometric pattern. The lens model may represent a spatially variant blur pattern across the image field of the lens used to capture the reference images. In one embodiment, the lens model may include Gaussian approximations of the blur that may minimize the difference between a location within a reference image and a corresponding location of a pre-determined, known geometric pattern. In one embodiment, the generated lens model may be applied to deblur a new image. | 05-23-2013 |