Abstract: Apparatus are provided including an image signal carrier, a luminance information evaluator, and a chrominance information modifier. The image signal carrier is encoded with an image signal including luminance information and chrominance information. The luminance information evaluator evaluates the luminance information in the image signal for a given region within the image to identify when the given region is one of substantially white and substantially dark. The chrominance information modifier is provided to modify the chrominance information corresponding to the given region when the given region is one of substantially white and substantially dark.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method and apparatus for down scaling image data is disclosed. One method controls a phase for an M/N filter, where N represents a number of input samples, and M represents a number of output samples. N is greater than M. Another method may switch between an M/N filter and a phase-controlled M/N filter.

Abstract: 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.

Abstract: 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.

Abstract: An imaging system generates a gain for a component of an image format. The gain is at least partially dependent on the brightness of the light source illuminating a scene when an image of the scene was generated. The gain can be used to correct the component of the image format for the color shift in the image caused by the light source. In some instances, the imaging system generates a gain for a plurality of the components of the image format or for all of the components of the image format. The gains can be used to correct the components for the color shift in the image caused by the light source.

Abstract: 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.

Abstract: A method and apparatus for adaptive green channel odd-even mismatch removal to effectuate the disappearance of artifacts caused by the odd-even mismatch in a demosaic processed image. In one example, a calibrated GR channel gain for red rows and a calibrated GB channel gain for blue rows are determined and are a function of valid pixels only in each respective region. After the calibration, in a correction process, the green pixels in red rows of a region are multiplied by the calibrated GR channel gain, and the green pixels in blue rows are multiplied by the calibrated GB channel gain.

Abstract: 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.

Abstract: Automatic white balance of captured images can be performed based on a gray world assumption. One aspect relates to an apparatus comprising a collection module and a processor. The collection module is configured to accumulate (a) red/green and blue/green color ratio values of a plurality of pixels in a captured image for each cluster of a plurality of clusters and (b) a number of pixels having red/green and blue/green color ratios associated with each cluster, the clusters comprising daylight, fluorescent, incandescent, and a outdoor green zone. The processor is configured to determine which cluster has a highest accumulated number of pixels, and use the cluster with the highest accumulated number of pixels to perform white balancing for the captured image.

Abstract: This disclosure describes adaptive filtering techniques to improve the quality of captured imagery, such as video or still images. In particular, this disclosure describes adaptive filtering techniques that filter each pixel as a function of a set of surrounding pixels. An adaptive image filter may compare image information associated with a pixel of interest to image information associated with a set of surrounding pixels by, for example, computing differences between the image information associated with the pixel of interest and each of the surrounding pixels of the set. The computed differences can be used in a variety of ways to filter image information of the pixel of interest. In some embodiments, for example, the adaptive image filter may include both a low pass component and high pass component that adjust as a function of the computed differences.

Abstract: Techniques are described for predictive focus value calculation within image capture devices. Image capture devices may include digital still cameras and digital video cameras. The techniques include performing an auto-focus process within an image capture device by predicting a focus value for a scene at a lens position of a lens included in the image capture device based on a corrupt focus value for the lens position calculated from a first frame directly after lens settlement. Therefore, the auto-focus process may determine size and direction of movement for the lens to a next lens position based on the predicted valid focus value, and move the lens to the next lens position during a second frame. In this way, the techniques may move the lens to another lens position during each frame, greatly reducing auto-focus latency by potentially doubling or tripling the speed of the auto-focus process.

Abstract: 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.

Abstract: 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.

Abstract: Methods and apparatus for processing a captured image of a medium, content on the medium, and a background surrounding the medium are provided. A captured image is processed by 1) improving the visibility of the content by recovering the original appearance of the medium and enhancing the appearance of the content image, 2) removing the background by determining the boundary of the medium, and/or 3) correcting geometric distortion in the content to improve readability. Any of the three processing steps may be used alone or any combination of the three processing steps may be used to process the image. The image processing may operate on the image after it is captured and stored to a memory and may be implemented on an image-capturing device that captures the image. In other embodiments, the image processing is implemented on another device that receives the image from the image-capturing device.

Abstract: This disclosure describes image processing techniques that facilitate the determination of the lighting condition associated with an image. Once the lighting condition is determined, white balance can be performed on the image such as by applying white balance gains defined for the lighting condition. According to the techniques of this disclosure, gray point lines are defined and plotted for the different lighting conditions, and cylindrical bounding volumes are defined around the gray point lines, e.g., in a three-dimensional color space. The image is then analyzed with respect to each of the cylindrical bounding volumes to determine how many pixels of the image fall within the respective cylindrical bounding volumes formed around the gray point lines for the different lighting conditions. Based on this analysis, the actual lighting condition can be determined.