| Patent application number | Description | Published |
|---|
| 20080205758 | Distortion Correction of a Captured Image - Disclosed are embodiments of systems and methods for eliminating or reducing the distortion in a scanned image. Embodiments of the present invention allow for the automatic pruning, de-skewing, and unwarping of an image using document layout information. In embodiments, dominant baselines may be selected by examining the letter regions on boundary baselines rather than examining the entire document layout. The dominant baselines may then be used to reduce distortion in the image. It shall be noted that present invention is robust enough to handle many types of content, including different languages, as well as documents with different layouts. The present invention may also be applied to images obtained from bound documents and flat documents. | 08-28-2008 |
| 20080205759 | Distortion Correction of a Scanned Image - Disclosed are embodiments of systems and methods for eliminating or reducing the distortion in a scanned image. In embodiments, the image is segmented into foreground and background pixels. Foreground pixels may be grouped into “letters.” Using index-based searching, “letters” may be grouped into “words” and “words” may be grouped into baselines. One or more dominant baselines may be selected and the characteristics of the dominant baseline or baselines may be used to unwarp the image. | 08-28-2008 |
| 20090003700 | Precise Identification of Text Pixels from Scanned Document Images - A system or method for identifying text in a document. A group of connected components is created. A plurality of characteristics of different types is calculated for each connected component. Statistics are computed which describe the group of characteristics. Outlier components are identified as connected components whose computed characteristics are outside a statistical range. The outlier components are removed from the group of connected components. Text pixels are identified by segmenting pixels in the group of connected components into a group of text pixels and a group of background pixels. | 01-01-2009 |
| 20090021595 | Low Memory Auto-Focus and Exposure System for Large Multi-Frame Image Acquisition - Embodiments of the invention are described that provide automated and efficient optimization of camera settings. In certain embodiments of the invention, both focus and exposure settings are determined based on an analysis of compressed images taken of a frame. Based on this analysis, the camera focus and exposure settings are set to provide a preferred image quality of the particular frame. This optimization of the focus and exposure settings is performed at each frame within the multi-frame image source. As a result, each frame image is independently optimized and addresses variations, such as light and surface inconsistencies, across the multi-frame image source. | 01-22-2009 |
| 20090046931 | Segmentation-based image labeling - Disclosed are embodiments of systems and methods for segmenting an image into at least two layers, a foreground and a background layer. An embodiment of the present invention includes rough labeling or segmenting at least a portion of the image into foreground and background pixels. The rough labeled pixels may be refined by using local classifications. In embodiments, additional processes may be performed on the image including, but not limited to, filtering, image enhancing, shape refining, image compression, etc. | 02-19-2009 |
| 20090060354 | Reducing Compression Artifacts in Multi-Layer Images - Disclosed are embodiments of systems, devices, and methods to reduce compression artifacts in multi-layer images. Pixel dilation operations, such as morphological dilations, are performed to identify unlabeled pixels at boundaries between layers, and the colors of those pixels are adjusted to mitigate formation of artifacts during layer compression. | 03-05-2009 |
| 20090086081 | Color-Based Feature Identification - Disclosed are embodiments of systems and methods for identifying features using color information in an image. The image may be formed from one or more display images comprising color information and features or feature components. Because color information may be used to identify features, more than one feature or feature component may be displayed in a display image. Because a plurality of features may be identified in a calibration image, an image system, such as a projector-camera system, can reduce the number of display images needed to calibrate the system. | 04-02-2009 |
| 20090213224 | Fast Imaging System Calibration - Systems and methods are disclosed for calibrating an imaging system comprising a processing unit communicatively coupled to one or more imaging devices. The imaging system may also include a display. In an embodiment, a sequence of display features are displayed on a display, and imaged by the imaging device or devices. Spatial data is compiled related to the display features and the corresponding image features. In an embodiment, the display, imaging device or device, or both may be repositioned and another sequence of display features may be presented and the spatial data compiled. Using optimization and calibration techniques, the compiled spatial data may be used to obtain one or more internal imaging device parameters, one or more external parameters, or both. | 08-27-2009 |
| 20100014768 | Model-Based Error Resilience in Data Communication - Disclosed are embodiments of systems and methods to use a model-based technique for image error recovery in data communication. A low-dimensional representation is constructed of an image that contains errors. A manifold comprising image representations and a statistical model of the manifold are used to correct the errors in the image. | 01-21-2010 |
| 20100106998 | Robust Generative Features - Disclosed are systems and methods for developing robust features for representing data. In embodiments, a linear generative model is computed using data. In embodiments, based upon a robustness measure, a set of features is selected. In embodiments, the set of features may be evaluated to gauge the capacity of the set of features to represent the data. Responsive to the set of features not satisfying an evaluation criterion or criteria, the set of features may be refined until the selected set of features complies with the evaluation criterion or criteria. | 04-29-2010 |
| 20100150406 | Virtual Masking Using Rigid Parametric Modeling - Disclosed are systems and methods for masking at least a portion of one image with another image. Aspects of the present invention facilitate the placing of a virtual mask onto an item in an image even if that items moves in subsequent images, such as between different image frames in a video. | 06-17-2010 |
