Patent application number | Description | Published |
20090033764 | SCENE-DEPENDENT AUTO EXPOSURE CONTROL - A device has a processing unit to implement a set of operations to use both luma and chroma information from a scene of an image to dynamically adjust exposure time and sensor gain. The processing unit collects bright near grey pixels and high chroma pixels in the scene. Based on the collected pixels, brightness of the near grey pixels is increased to a predetermined level without saturation. At the same time, the high chroma pixels are kept away from saturation. | 02-05-2009 |
20090043524 | SURFACE MESH MATCHING FOR LENS ROLL-OFF CORRECTION - A two-dimensional (2D) mesh is applied over a distortion surface to approximate a lens roll-off distortion pattern. The process to apply the 2D mesh distributes a plurality of grid points among the distortion pattern and sub-samples the distortion pattern to derive corrected digital gains at each grid location. Non-grid pixels underlying grid blocks having a grid point at each corner are adjusted based on the approximation of the lens roll-off for the grid points of the grid block. In one example, bilinear interpolation is used. The techniques universally correct lens roll-off distortion irregardless of the distortion pattern shape or type. The technique may also correct for green channel imbalance. | 02-12-2009 |
20090102935 | MOTION ASSISTED IMAGE SENSOR CONFIGURATION - In general this disclosure describes techniques for configuring an image sensor of an image capture device based on motion within the scene of interest. In particular, the image capture device analyzes motion between two or more images of the same scene of interest and adjusts the configuration parameters, e.g., gain and/or exposure time, of the image sensor based on the amount of motion within the scene of interest. For example, the image capture device may configure the image sensor with a large gain and a short exposure time when the scene includes a relatively large amount of motion, thus reducing the blur caused by the large amount of motion. Conversely, the image capture device may configure the image sensor with a small gain and a long exposure time when the scene includes relatively little or no motion, thus reducing the noise caused by large gains. | 04-23-2009 |
20100002090 | COLOR ENHANCEMENT FOR DIGITAL IMAGES - Techniques for identifying and enhancing colors in a digital image associated with one or more target color shades. In an embodiment, the target color shades may include a shade of blue associated with the sky, a shade of green associated with outdoor foliage, or the color red. In an embodiment, the blue chroma (Cb) and red chroma (Cr) coordinates of a pixel are evaluated to determine whether to apply an enhancement factor. The enhancement factor may incorporate an exposure index (EI) auxiliary enhancement factor, a color temperature (D) auxiliary enhancement factor, and a luminance (Y) of each pixel. Further aspects for implementing the techniques in software and hardware are disclosed. | 01-07-2010 |
20100265344 | AUTO-TRIGGERED FAST FRAME RATE DIGITAL VIDEO RECORDING - This disclosure describes techniques for triggering recording of digital video in a fast frame rate mode. In one example, a digital video recording apparatus includes a video sensor that captures digital video data at a fast frame rate in a fast frame rate mode, a video buffer that buffers the captured digital video data according to a first-in-first-out storage schema, a video storage that stores digital video data, and a motion detection unit that detects fast motion in the buffered digital video data, that stores digital video data from the video sensor in the video storage after detecting the fast motion, and that copies the contents of the video buffer to the video storage prepended to the stored video data. The digital video recording apparatus may be incorporated in a wireless communication device, such as a cellular phone. | 10-21-2010 |
20120105668 | REGION OF INTEREST EXTRACTION - An example image capture device determines a region of interest using a first image captured while a light source is powered off and a second image captured while a light source is powered on and uses the region of interest to automatically set configurations. In one example, an image capture device includes a controlled light source, an image sensor configured to capture images, and a processing unit configured to cause the image sensor to capture a first image of a scene while the controlled light source is powered off, cause the image sensor to capture a second image of the scene while the controlled light source is powered on, calculate luminance differences between a plurality of regions in the first image and a plurality of collocated regions in the second image, and determine that a region of interest includes those regions for which the luminance differences exceed a threshold. | 05-03-2012 |
20130038701 | SYSTEMS AND METHODS TO CAPTURE A STEREOSCOPIC IMAGE PAIR - Described are a system, apparatus, and method to capture a stereoscopic image pair using an imaging device with a single imaging sensor. Particularly, discussed are systems and methods for capturing a first and second image through an image sensor, determining a vertical and horizontal disparity between the two images, and applying corrections for geometric distortion, vertical disparity, and convergence between the two images. Some embodiments contemplate displaying a directional indicator before the second image of the stereoscopic image pair is captured. By displaying a directional indicator, a more optimal position for the second image of the stereoscopic image pair may be found, resulting in a higher quality stereoscopic image pair. | 02-14-2013 |
20130083002 | METHODS AND APPARATUS FOR CONDITIONAL DISPLAY OF A STEREOSCOPIC IMAGE PAIR - Apparatus and methods for conditional display of a stereoscopic image pair on a display device are disclosed. Particularly, some implementations include receiving a first image and a second image, determining a vertical disparity between the first image and the second images, and displaying a stereoscopic image pair if the vertical disparity is below a threshold. Some implementations provide for correcting the vertical disparity by generating at least one corrected image, and generating the stereoscopic image pair based on the corrected image. Some implementations may evaluate the quality of the stereoscopic image pair, and display either a two dimensional image or the stereoscopic image pair based on the evaluation. | 04-04-2013 |
20130242120 | MOTION-STATE CLASSIFICATION FOR CAMERA APPLICATIONS - A mobile device uses data from one or more sensors to determine a user context, such as a motion state of the user, and adjusts at least one camera feature selected form a group consisting of continuous auto-focus, auto-white balance, video encode quality, frame rate, search range used for focusing, and exposure mode based on the user context. The user context may include, e.g., at least one of panning, walking, standing, sitting, and traveling in a moving vehicle. | 09-19-2013 |
20140029837 | INERTIAL SENSOR AIDED INSTANT AUTOFOCUS - The disclosure is directed to creating an inertial sensor aided depth map of a scene. An embodiment of the disclosure captures at least a first image and a second image during movement of a device caused by a user while framing or recording the scene, compensates for rotation between the first image and the second image, calculates an amount of translation of the device between the first image and the second image, calculates a pixel shift of a plurality of key points of the first image and the second image, and estimates a depth to one or more of the plurality of key points of the first image and the second image. | 01-30-2014 |
Patent application number | Description | Published |
20090201374 | WHITE BALANCE CALIBRATION FOR DIGITAL CAMERA DEVICE - This disclosure describes automatic self-calibration techniques for digital camera devices. In one aspect, a method for performing a calibration procedure in a digital camera device comprises initiating the calibration procedure when a camera sensor of the digital camera device is operating, accumulating data for the calibration procedure, the data comprising one or more averages of correlated color temperature (CCT) associated with information captured by the camera sensor, calculating one or more CCT vectors based on the one or more averages of CCT, and generating gray point correction factors based on the one or more CCT vectors. | 08-13-2009 |
20090202235 | AUTO-FOCUS CALIBRATION FOR IMAGE CAPTURE DEVICE - The disclosure relates to techniques for calibration of an auto-focus process in an image capture device. The techniques may involve calibration of a lens actuator used to move a lens within a search range during an auto-focus process. For example, an image capture device may adjust reference positions for the search range based on lens positions selected for different focus conditions. The different focus conditions may include a far focus condition and a near focus condition. The focus conditions may be determined based on a detected environment in which the device is used. Detection of an indoor environment may indicate a likelihood of near object focus, while detection of an outdoor environment may indicate a likelihood of far object focus. An image capture device may detect indoor and outdoor environments based on lighting, exposure, or other conditions. | 08-13-2009 |
20100182463 | PROCESSING OF SENSOR VALUES IN IMAGING SYSTEMS - A digital image system identifies defective pixels of a digital image sensor based on sensor values of pixels positioned in at least two dimensions on the digital image sensor. The exemplary imaging system includes a buffer for receiving sensor values that are each associated with a pixel in the digital image sensor and electronics for comparing the sensor value associated with a test pixel to the sensor values of pixels positioned in at least two dimensions on the digital image sensor. The electronics determines whether the test pixel is a defective pixel based on the comparison. | 07-22-2010 |
20110292997 | CONTROL OF VIDEO ENCODING BASED ON IMAGE CAPTURE PARAMETERS - This disclosure describes techniques for improving functionalities of a back-end device, e.g., a video encoder, using parameters detected and estimated by a front-end device, e.g., a video camera. The techniques may involve estimating a blurriness level associated with frames captured during a refocusing process. Based on the estimated blurriness level, the quantization parameter (QP) used to encode blurry frames is adjusted either in the video camera or in the video encoder. The video encoder uses the adjusted QP to encode the blurry frames. The video encoder also uses the blurriness level estimate to adjust encoding algorithms by simplifying motion estimation and compensation in the blurry frames. | 12-01-2011 |