Abstract: A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes receiving the video and determining parameters of a tone mapping function defined by a Bezier curve for processing the video. The method also includes generating, by at least one processor, a tone mapped video by applying the tone mapping function to the video using the determined parameters.

Abstract: A method for tone mapping includes applying, by at least one processor, at least two tone mapping functions to video data. The at least two tone mapping functions include a first tone mapping function and a second tone mapping function, such as a high tone mapping function and a low tone mapping function that provides an output having more illumination range to low luminance values of the video data than an output that the high tone mapping function provides. The method includes determining a mixing ratio based on an amount of the video data that has luminance values within a predetermined range. The mixing ratio represents a proportion of each of output of the at least two tone mapping functions. The method includes mixing the outputs of the at least two tone mapping functions according to the mixing ratio to generate the tone mapped video.

Abstract: A method for tone mapping includes configuring, by at least one processor, at least one tone mapping function based on a measure of a distribution of luminance values within video data. The measure of a distribution of luminance values represents a luminance level at which a predetermined percentage of pixels of the video data have luminance values satisfying a threshold condition. The method includes generating a tone mapped video by applying the at least one configured tone mapping function to the video data.

Abstract: A method, apparatus, and computer-readable medium for video tone mapping. The method includes processing video data into a first video component and a second video component and applying tone mapping to the first video component. The method further includes scaling the second video component. The method further includes generating a tone mapped video by combining the tone-mapped first video component with the scaled second video component.

Abstract: A method, apparatus, and non-transitory computer readable medium for video tone mapping. The method includes processing a video using at least first and second tone mapping functions to generate at least first and second tone mapped videos and identifying an amount of local contrast in one or more areas of each of the at least first and second tone mapped videos. The method further includes determining an amount of each of the at least first and second tone mapped videos to include in an output tone mapped video based at least in part on comparison of the identified amount of local contrast for each of the at least first and second tone mapped videos and generating the output tone mapped video in accordance with the determined amount of each of the at least first and second tone mapped videos.

Abstract: Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and edge information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: Input image information is received. Enhancement information is determined based on frequency characteristics of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: A method of operation of a depth estimation system includes: calculating focus measures for positions on a two-dimensional image; generating a depth map for the two-dimensional image based on fitting the focus measure through a Gaussian function; generating a three-dimensional image from the depth map and the two-dimensional image; and processing the three-dimensional image on a storage unit for displaying on a device.

Abstract: Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and feature information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: A method of operation of a display system includes: receiving an input image having input pixels; identifying input edge pixels from the input pixels; calculating an edge pixel sum for one of the input edge pixels based on the number of the input edge pixels surrounding one of the input edge pixels; identifying pruned edge pixels from the input edge pixels having the edge pixel sum between a high edge density threshold and a low edge density threshold; and selecting a dominant image line from candidate lines calculated between the pruned edge pixels to generate a processed image for displaying on a device.

Abstract: A method of operation of a display system includes: receiving an input image having input pixels; assigning a pixel information for the input pixels corresponding to a semantic category; detecting input background pixels from the input pixels with the pixel information; identifying input foreground pixels from the input pixels with the background pixels; assigning a pixel depth to the input background pixels and input foreground pixels; generating a depth map with the input background pixels and the input foreground pixels; and generating a processed image from the input image with the depth map for displaying on a device.

Abstract: Embodiments include systems and methods of measuring a blockiness level in video data that has been encoded and decoded. In one embodiment, a Q-value is calculated that indicates the blockiness level of a decompressed image. The Q-value can be based on a block map having indicators corresponding to each of a plurality of pixels in an input image, each indicator signaling if a block edge is present at the corresponding pixel location in the input image, and also based on block locations indicative of the alignment block edge locations in the input image. The Q-value can be calculated in a vertical direction and a horizontal direction with respect to the input image. The Q-value is determined based on a flatness measurement of pixel values around certain considered pixels in the input image. The Q-value can be provided to a deblocking filter to improve the performance of deblocking the input image.

Abstract: A system and method of collection motion vectors for motion compensated interpolation of digital video are disclosed. For example, one embodiment includes a method of identifying motion vectors for interpolating a portion of a digital video signal. The method comprises identifying a plurality of motion vectors indicative of differences between first and second frames of a digital video signal, assigning each of the plurality of motion vectors to one of a plurality of clusters, selecting at least one motion vector assigned to each of the plurality of clusters, and generating at least a portion of a third frame based on the at least one motion vector selected for each of the plurality of clusters. Other embodiments include a system and device configured to perform the method.

Abstract: A system and method combine digital television together with a digital video camera and controller unit for using a digital video camera together with a digital television set as a home security system that allows stranger detection, fire detection, motion detection, etc. The detection results are used to make further decisions such as display or record some of the scenes.

Abstract: Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and feature information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: Input image information is received. A processor device is used for determining enhancement information based on frequency characteristics and edge information of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: Input image information is received. Enhancement information is determined based on frequency characteristics of the input image information. The enhancement information is mixed with the input image information to generate an enhanced image.

Abstract: Image details are created for an image. An image is processed to obtain image information. Detected texture samples are processed to obtain texture information. A processor device is used for transforming received image information for obtaining frequency domain information. The texture information is used for determining a lifting factor. A frequency distribution is determined for the frequency domain information using the lifting factor for creating particular frequency. An inverse transformation is performed on an updated frequency distribution for creating output image blocks. The output image blocks are combined to create image details for a lifted image. The lifted image is mixed with the image.

Abstract: A system and method for processing video data is disclosed. In one embodiment, the method includes receiving a first video frame and a second video frame, where the video frames comprise a plurality of blocks of pixels. The method further includes obtaining motion vector information identifying positions of a plurality of matching blocks between the first frame and the second frame, and calculating a measure related to an angle between a first motion vector for a first block in the first frame and a second motion vector for a second block in the first frame, where the second block is located at a frame position in the first frame within a neighborhood of the frame position in the second frame identified by the first motion vector.

Abstract: A method of operation of a display system includes: calculating a focus measure for an original image; calculating a segment mean based on the focus measure for a segment; generating an ordered segment based on the segment mean; generating a segment depth based on the ordered segment; and generating a three-dimensional image with the segment depth for displaying on a device.