Abstract:
This disclosure generally relates to encoding, transmission, and decoding of digital video, and more particularly to methods and systems for minimizing decoding delay in distributed video coding (DVC). In one embodiment, a video decoding method is disclosed, comprising: obtaining side information; obtaining a syndrome bit chunk corresponding to a non-key-frame bit-plane; performing, via one or more processors, at least one non-key-frame bit-plane channel decoding iteration using the side information and the syndrome bit chunk; generating a decoded bit-plane via performing the at least one non-key-frame bit-plane channel decoding iteration; determining a bit error rate measure for the decoded bit-plane; determining, based on the bit error rate measure, a number of additional syndrome bit chunks to request; and providing a request for the additional syndrome bit chunks.
Abstract:
This disclosure generally relates to digital image and video signal processing, and more particularly to methods and systems for dynamic brightness correction. In one embodiment, an electronic circuit configured to perform an image correction method is disclosed, the method comprising: obtaining a pixel value of a color space component from an image; determining whether to perform mid-tone correction for the pixel value of the color space component; calculating, via the electronic circuit, a corrected pixel value based on the determination of whether to perform the mid-tone correction for the pixel value of the color space component; and outputting the corrected pixel value. The color space component may be one of: an Intensity component from a Hue-Saturation-Intensity color space; a Value component from a Hue-Saturation-Value color space; a Lightness component from a Hue-Saturation-Lightness color space; and a Brightness component from a Hue-Saturation-Brightness color space.
Abstract:
A method and device for multiview distributed video coding with adaptive syndrome bit rate control are disclosed. In one embodiment, multiple groups, including video frames coming from associated digital cameras, are formed. Further, video frames coming from a predetermined number of the digital cameras are declared as key video frames. Furthermore, video frames coming from remaining digital cameras are declared as non-key video frames. In addition, the key video frames are encoded to obtain encoded bits. Moreover, the non-key video frames are encoded to obtain syndrome bits. Also, the encoded key video frames are decoded, to obtain decoded bits and the encoded non-key video frames are decoded, to obtain decoded bits and CRC bits. Further, an optimal number of syndrome bits in each non-key video frame are determined. Furthermore, the encoded bits and determined optimal number of syndrome bits are sent to multiple receivers.
Abstract:
A technique for improving image quality using dynamic gray scale correction, in one example embodiment, includes dynamically computing non-linear gamma curves using histogram data extracted from a current video frame. A gray scale correction is then dynamically applied to each pixel in the current or next video frame as a function of the computed non-linear gamma curves.
Abstract:
The present disclosure relates to methods and related systems and computer-readable mediums. The methods include receiving a design for a programmable logic device (PLD). The design includes a plurality of nodes. The method also includes modifying, via one or more hardware processors, the design to include a logic analyzer circuit. The logic analyzer circuit includes inputs for a plurality of selectable groups of capture signals for connecting to selected nodes of the plurality of nodes. In addition, the method includes outputting the design to the PLD to program the PLD. The disclosure also relates a system comprising a user logic circuit, a logic analyzer circuit, and a memory.
Abstract:
System and method for dynamically and adaptively enhancing user chosen colors on a frame-by-frame basis of an incoming digital video signal using a saturation gain is disclosed. In one embodiment, a saturation 1D-histogram for each of the user chosen colors is formed using a substantially current video frame. Further, a saturation gain, adaptive to slow or fast moving image sequences, is dynamically computed for each of the user chosen colors of the substantially current video frame using the corresponding saturation 1D-histogram of the substantially current video frame and corresponding saturation 1D-histogram information and a saturation gain of a substantially previous video frame. Furthermore, which one of the dynamically computed saturation gains associated with the user chosen colors to be applied on a per-pixel basis is determined. The determined saturation gain is applied to saturation component on the per-pixel basis in the substantially current or next video frame.
Abstract:
A method and apparatus for dynamically, adaptively and/or concurrently enhancing and diminishing of colors in digital video images is disclosed. In one embodiment, a method includes dynamically computing a saturation gain, adaptive to slow or fast moving image sequences, for each user chosen color of a substantially current video frame, dynamically computing a saturation dependent value gains, adaptive to slow or fast moving image sequences, for each user chosen color of the substantially current video frame, determining which of the dynamically computed saturation gain and a saturation dependent value gains associated with each user chosen color or no gain is to be applied on a per-pixel basis by comparing Hue, saturation and value (HSV) components of each pixel with predefined HSV ranges of various user chosen colors, respectively, and applying the determined saturation and/or saturation dependent value gain on the per-pixel basis, in the substantially current or next video frame.
Abstract:
A technique for improving image quality using dynamic gray scale correction, in one example embodiment, includes dynamically computing non-linear gamma curves using histogram data extracted from a current video frame. A gray scale correction is then dynamically applied to each pixel in the current or next video frame as a function of the computed non-linear gamma curves.
Abstract:
A method and device for multiview distributed video coding with adaptive syndrome bit rate control are disclosed. In one embodiment, multiple groups, including video frames coming from associated digital cameras, are formed. Further, video frames coming from a predetermined number of the digital cameras are declared as key video frames. Furthermore, video frames coming from remaining digital cameras are declared as non-key video frames. In addition, the key video frames are encoded to obtain encoded bits. Moreover, the non-key video frames are encoded to obtain syndrome bits. Also, the encoded key video frames are decoded, to obtain decoded bits and the encoded non-key video frames are decoded, to obtain decoded bits and CRC bits. Further, an optimal number of syndrome bits in each non-key video frame are determined. Furthermore, the encoded bits and determined optimal number of syndrome bits are sent to multiple receivers.
Abstract:
A programmable logic device is presented. The device comprises a plurality of logic elements and a plurality of I/O pins; a multiplexer and/or a de-multiplexer unit. The multiplexer and/or multiplexer unit is coupled between said logic elements and I/O pins. The device further comprises a control unit for generating control signal/s for selecting one of the inputs of the multiplexer and/or one of the outputs of the de-multiplexer. The control unit includes inputs for receiving a first clock signal, a second clock signal and indicators, said indicators being indicative of a phase skew relation amongst the clock signals. The control unit being configured for generating adaptively adjusted control signals according to the clock signals and indicators, said control signal's are adaptively adjusted for eliminating impact of the phase skew amongst the clock signals.