Image Sharpening Via Gradient Environment Detection
Granted: April 19, 2012
Application Number:
20120093431
In an embodiment, a device comprises a plurality of elements, including logical elements, wherein the elements are configured to perform the operations of: in a neighborhood of pixels surrounding and including a particular pixel, applying a filter to multiple groups of pixels in the neighborhood to generate a set of filtered values; generating, based at least in part upon the set of filtered values, one or more sets of gradient values; based at least in part upon the one or more sets of…
Continuous Edge And Detail Mapping Using A Weighted Monotony Measurement
Granted: April 19, 2012
Application Number:
20120093419
In an embodiment, a device comprises a plurality of elements configured to apply a filter to multiple groups of pixels in a neighborhood of pixels surrounding a particular pixel to generate a matrix of filtered values; compute, from the matrix of filtered values, a first set of gradients along a first direction and a second set of gradients along a second and different direction; determine how many directional changes are experienced by the gradients in the first set of gradients and the…
Continuous Autofocus Based on Face Detection and Tracking
Granted: March 29, 2012
Application Number:
20120075492
An autofocus method includes acquiring an image of a scene that includes one or more out of focus faces and/or partial faces. The method includes detecting one or more of the out of focus faces and/or partial faces within the digital image by applying one or more sets of classifiers trained on faces that are out of focus. One or more sizes of the one of more respective out of focus faces and/or partial faces is/are determined within the digital image. One or more respective depths is/are…
Foreground/Background Separation Using Reference Images
Granted: March 22, 2012
Application Number:
20120069222
A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background.…
Foreground/Background Separation Using Reference Images
Granted: March 22, 2012
Application Number:
20120069198
A technique involves distinguishing between foreground and background regions of a digital image of a scene. First and second images are captured of nominally a same scene. The first image is a relatively high resolution image taken with the foreground more in focus than the background, while the second image is a relatively low resolution reference image taken with the background more in focus than the foreground. Regions of the captured images are assigned as foreground or background.…
Detecting Redeye Defects in Digital Images
Granted: March 15, 2012
Application Number:
20120063677
A method for detecting a redeye defect in a digital image containing an eye comprises converting the digital image into an intensity image, and segmenting the intensity image into segments each having a local intensity maximum. Separately, the original digital image is thresholded to identify regions of relatively high intensity and a size falling within a predetermined range. Of these, a region is selected having substantially the highest average intensity, and those segments from the…
Methods and Apparatuses for Addressing Chromatic Abberations and Purple Fringing
Granted: March 8, 2012
Application Number:
20120057041
Methods and systems for detecting and correcting chromatic aberration and purple fringing are disclosed. Chromatic aberration can be addressed by separating an image into color planes and then adjusting these to reduce chromatic aberration by using a specific calibration image (calibration chart) as an empirical method to calibrate the image acquisition device. Purple fringing can be corrected by initially addressing color aberration resulting from the lateral chromatic aberration (LCA).…
Variable Stereo Base for (3D) Panorama Creation on Handheld Device
Granted: January 26, 2012
Application Number:
20120019614
A technique of generating a stereoscopic panorama image includes panning a portable camera device, and acquiring multiple image frames. Multiple at least partially overlapping image frames are acquired of portions of the scene. The method involves registering the image frames, including determining displacements of the imaging device between acquisitions of image frames. Multiple panorama images are generated including joining image frames of the scene according to spatial relationships…
Dynamically Variable Stereo Base for (3D) Panorama Creation on Handheld Device
Granted: January 26, 2012
Application Number:
20120019613
A technique of generating a stereoscopic panorama image includes panning a portable camera device, and acquiring multiple image frames. Multiple at least partially overlapping image frames are acquired of portions of the scene. The method involves registering the image frames, including determining displacements of the imaging device between acquisitions of image frames. Multiple panorama images are generated including joining image frames of the scene according to spatial relationships…
Scene Background Blurring Including Range Measurement
Granted: January 12, 2012
Application Number:
20120007940
Different distances of two or more objects in a scene being captured in a video conference are determined by determining a sharpest of two or more color channels and calculating distances based on the determining of the sharpest of the two or more color channels. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear…
Reducing Erroneous Colors in Edge Areas with Chromatic Abberation
Granted: January 12, 2012
Application Number:
20120008859
A technique is disclosed for calculating a value for a second color for a particular pixel. The technique selects a first set of neighboring pixels situated on a first side of the particular pixel, and a second set of neighboring pixels situated on an opposite side of the particular pixel. Based upon color values from the first set of neighboring pixels, the technique determines a first representative relationship, and based upon color values from the second set of neighboring pixels,…
Real-Time Video Frame Pre-Processing Hardware
Granted: January 12, 2012
Application Number:
20120008002
A dynamically reconfigurable heterogeneous systolic array is configured to process a first image frame, and to generate image processing primatives from the image frame, and to store the primatives and the corresponding image frame in a memory store. A characteristic of the image frame is determined. Based on the characteristic, the array is reconfigured to process a following image frame.
Scene Background Blurring Including Determining A Depth Map
Granted: January 12, 2012
Application Number:
20120007942
Different distances of two or more objects in a scene being captured in a video conference are determined using an auto-focus sweep of the scene. A depth map of the scene is generated based on the auto-focus sweep. At least one of the objects is identified as a foreground object or a background object, or one or more of each, based on the determining of the different distances. The technique involves blurring or otherwise rendering unclear at least one background object or one or more…
Scene Background Blurring Including Face Modeling
Granted: January 12, 2012
Application Number:
20120007939
Different distances of two or more objects in a scene being captured in a video conference are determined based on applying a face model to a detected face within a digitally-acquired image. At least one portion of the scene other than the face is identified as comprising a background object that is a different distance from the video camera component than the face. The technique involves blurring or otherwise rendering unclear the background object.
In-Camera Based Method of Detecting Defect Eye with High Accuracy
Granted: December 15, 2011
Application Number:
20110304748
A portable digital image acquisition device includes multiple lenses and/or multiple flashes. A main digital image and first and second reference images are acquired. The first and second reference images are acquired with different flash-lens combinations that have different flash-lens distances. One or more flash eye defects are detected and corrected in the main image based on analysis of the first and second reference images.
Method and Apparatus for Selective Disqualification of Digital Images
Granted: November 17, 2011
Application Number:
20110280446
An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more eye regions are determined. The eye regions are analyzed to determine whether they are blinking, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the eye is completing the blinking.
Digital Image Acquisition Control and Correction Method and Apparatus
Granted: November 17, 2011
Application Number:
20110279700
An unsatisfactory scene is disqualified as an image acquisition control for a camera. An image is acquired. One or more mouth regions are determined. The mouth regions are analyzed to determined whether they are frowning, and if so, then the scene is disqualified as a candidate for a processed, permanent image while the mouth is completing the frowning.
Method for Establishing a Paired Connection Between Media Devices
Granted: November 10, 2011
Application Number:
20110276698
A method for establishing a paired connection between first and second media devices across a network includes transmitting a first information message across the network including an identifier that includes a request to pair the first and second media devices. When a second information message is received from the second media device within a first predetermined time period, the first device retrieves an identifier of the second device and transmits a confirmation message across the…
Foreground/Background Segmentation in Digital Images
Granted: November 3, 2011
Application Number:
20110268359
An analysis and classification tool compares at least a portion of a captured image and a reference image of nominally the same scene. One of the captured and reference images is taken with flash and the other is taken without flash. The tool provides a measure of the difference in illumination between the captured image and the reference image. The tool compares the measure with a threshold and segments a foreground region from a background region based on the measure.
TWO STAGE DETECTION FOR PHOTOGRAPHIC EYE ARTIFACTS
Granted: October 27, 2011
Application Number:
20110262034
The detection of red-eye defects is enhanced in digital images for embedded image acquisition and processing systems. A two-stage redeye filtering system includes a speed optimized filter that performs initial segmentation of candidate redeye regions and optionally applies a speed-optimized set of falsing/verification filters to determine a first set of confirmed redeye regions for correction. Some of the candidate regions which are rejected during the first stage are recorded and…
