Abstract: In one embodiment, a system includes a hardware accelerator to receive video data of multiple video frames, divide each of the video frames into respective blocks, compute encoding assist data including at least one video encoding parameter type for each of the respective blocks of each of the video frames, and store respective portions of the encoding assist data across respective database tables, and an interface to provide the respective database tables to video encoding software running on a processor.

Abstract: A system including an acceleration device including input circuitry configured, for each of a first plurality of video frames to be encoded, to receive an input including at least one raw video frame and at least one reference frame, and to divide each of the first plurality of video frames to be encoded into a second plurality of blocks, and similarity computation circuitry configured, for each one of the first plurality of video frame to be encoded: for each block of the second plurality of blocks, to produce a score of result blocks based on similarity of each block in each frame to be encoded to every block of the reference frame, an AC energy coefficient, and a displacement vector. Related apparatus and methods are also provided.

Abstract: A system and method for correcting oversaturated pixels in far-infrared (FIR) images captured by a shutterless FIR camera, the method comprising: capturing thermal images by a FIR sensor in the shutterless FIR camera; processing the thermal images, by the shutterless FIR camera to determine pixel value and at least a shutterless sunburn correction, wherein the shutterless sunburn correction removes oversaturated pixels based on pixel-by-pixel analysis of the thermal image; and sending the processed thermal images to an output device.

Abstract: A video processor includes a memory and a processor. The processor is coupled to memory and is configured to store in the memory (i) multiple raw frames belonging to a Group of Pictures (GOP) to be processed, and (ii) one or more reference frames. The processor is further configured to select for multiple target blocks having a same block-location in respective raw frames associated with a common reference frame, a common search region in the common reference frame, and before selecting another search region, to apply at least two motion estimation operations using at least two of the target blocks and the common search region, to estimate respective at least two Motion Vectors (MVs).

Abstract: A video processor includes a memory and a processor. The processor is coupled to memory and is configured to store in the memory (i) multiple raw frames belonging to a Group of Pictures (GOP) to be processed, and (ii) one or more reference frames. The processor is further configured to select for multiple target blocks having a same block-location in respective raw frames associated with a common reference frame, a common search region in the common reference frame, and before selecting another search region, to apply at least two motion estimation operations using at least two of the target blocks and the common search region, to estimate respective at least two Motion Vectors (MVs).

Abstract: A video coding system including an acceleration device including input circuitry configured, for each of a first plurality of video frames to be encoded, to receive an input including at least one raw video frame and at least one reference frame, and to divide each of the first plurality of video frames to be encoded into a second plurality of blocks, and similarity computation circuitry configured, for each one of the first plurality of video frame to be encoded: for each the block of the second plurality of blocks, to produce an intra-prediction hint and an intra-prediction direction. Related apparatus and methods are also provided.

Abstract: A system and method for correcting oversaturated pixels in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes identifying oversaturated pixels based on a pixel value analysis of an input image; creating an oversaturated pixel mask of the input image, where the oversaturated pixel mask includes the identified oversaturated pixels and excludes pixels not identified as oversaturated pixels; and correcting the oversaturated pixels of the current image using the oversaturated pixel mask, based on a scene-based nonuniformity correction (SBNC).

Abstract: A system and method for correcting nonuniformity in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes determining a noise of a current image based on updating a noise estimate of a previous image with a noise estimate of a current image; determining a weight mask matrix of the current image, where the weight matrix includes high values corresponding to pixels of the current image in which noise estimation is facilitated, and low values corresponding to pixels of the current image in which noise estimation is inhibited; applying the weight mask matrix to the current image; and correcting the nonuniformity of the current image incrementally based on the determined noise of current image and the applied weight mask matrix.

Abstract: A system including an acceleration device including input circuitry configured, for each of a first plurality of video frames to be encoded, to receive an input including at least one raw video frame and at least one reference frame, and to divide each of the first plurality of video frames to be encoded into a second plurality of blocks, and similarity computation circuitry configured, for each one of the first plurality of video frame to be encoded: for each block of the second plurality of blocks, to produce a score of result blocks based on similarity of each block in each frame to be encoded to every block of the reference frame, an AC energy coefficient, and a displacement vector. Related apparatus and methods are also provided.

Abstract: A system including an acceleration device including input circuitry configured, for each of a first plurality of video frames to be encoded, to receive an input including at least one raw video frame and at least one reference frame, and to divide each of the first plurality of video frames to be encoded into a second plurality of blocks, and similarity computation circuitry configured, for each one of the first plurality of video frame to be encoded: for each the block of the second plurality of blocks, to produce a score of result blocks based on similarity of each the block in each frame to be encoded to every block of the reference frame, and a displacement vector. Related apparatus and methods are also provided.

Abstract: A system and method for correcting oversaturated pixels in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes identifying oversaturated pixels based on a pixel value analysis of an input image; creating an oversaturated pixel mask of the input image, where the oversaturated pixel mask includes the identified oversaturated pixels and excludes pixels not identified as oversaturated pixels; and correcting the oversaturated pixels of the current image using the oversaturated pixel mask, based on a scene-based nonuniformity correction (SBNC).

Abstract: A system and method for correcting nonuniformity in far-infrared (FIR) images captured by a shutterless FIR camera. The method includes determining a noise of a current image based on updating a noise estimate of a previous image with a noise estimate of a current image; determining a weight mask matrix of the current image, where the weight matrix includes high values corresponding to pixels of the current image in which noise estimation is facilitated, and low values corresponding to pixels of the current image in which noise estimation is inhibited; applying the weight mask matrix to the current image; and correcting the nonuniformity of the current image incrementally based on the determined noise of current image and the applied weight mask matrix.

Abstract: A method, apparatus, and manufacture for generating an HDR image is provided. An original image is received from an HDR interlaced sensor that includes at least two fields captured with different exposures. The fields are separated from each other to provide separate images, and each of the separate images is upscaled. Next, blending is performed on each of the upscaled separate images to generate a high-dynamic range image, and ghost identification is performed on the high-dynamic range image. Subsequently, detail identification is performed on the high-dynamic range image. The detail identification includes identifying areas in the non-ghost areas of the high-dynamic range image that have details, and modifying the high-dynamic image by replacing each of the areas identified to have details with the corresponding area from the original image.

Abstract: A method, apparatus, and manufacture for generating an HDR image is provided. An original image is received from an HDR interlaced sensor that includes at least two fields captured with different exposures. The fields are separated from each other to provide separate images, and each of the separate images is upscaled. Next, blending is performed on each of the upscaled separate images to generate a high-dynamic range image, and ghost identification is performed on the high-dynamic range image. Subsequently, detail identification is performed on the high-dynamic range image. The detail identification includes identifying areas in the non-ghost areas of the high-dynamic range image that have details, and modifying the high-dynamic image by replacing each of the areas identified to have details with the corresponding area from the original image.

Abstract: A method and apparatus are provided for correcting image data of an image sensor. In on embodiment, a method includes receiving sensor data including image data having at least one artifact and smear sensitive data, detecting motion of one or more light sources associated with the artifact and characterizing the motion of the one or more light sources to provide a motion characteristic. The method may further include correcting at least a portion of the image data based on the smear sensitive data and the motion characteristic of the one or more light sources, wherein the correcting is responsive to vertical motion and non-vertical motion of the one or more light sources.