Methods and apparatus for the generation of interpolated frames of video data. In one embodiment, the interpolated frames of video data are generated by obtaining two or more frames of video data from a video sequence; determining frame errors for the obtained two or more frames from the video sequence, determining whether the frame errors exceed a threshold value; performing a multi-pass operation; performing a single-pass operation; performing frame blending; performing edge correction; and generating the interpolated frame of image data.

A video signal conversion device includes an RGB converter. The RGB converter converts gradation values of an input R signal, an input G signal, and an input B signal of three primary colors based on a conversion table or conversion formula to generate an output R signal, an output G signal, and an output B signal. The RGB converter, when it is designated, by a cataract degree designating signal that designates a degree of cataract including a degree of light scattering, that it is a cataract with light scattering, decreases the gradation values of the input R signal, the input G signal, and the input B signal, in a range from the minimum gradation value to a predetermined intermediate gradation value less than the maximum gradation value, with a linear characteristic of not converting gradation values as a reference.

A video signal conversion device includes an RGB converter. The RGB converter converts gradation values of an input R signal, an input G signal, and an input B signal of three primary colors based on a conversion table or conversion formula to generate an output R signal, an output G signal, and an output B signal. The RGB converter, when it is designated, by a cataract degree designating signal that designates a degree of cataract including a degree of light scattering, that it is a cataract with light scattering, decreases the gradation values of the input R signal, the input G signal, and the input B signal, in a range from the minimum gradation value to a predetermined intermediate gradation value less than the maximum gradation value, with a linear characteristic of not converting gradation values as a reference.

An optical recognition system includes a 4×4 kernel image sensor, two line buffers, and an interpolation unit. The 4×4 kernel image sensor includes two red pixels, eight green pixels, two blue pixels, and four IR pixels arranged in Bayer pattern. The two line buffers are configured to store the brightness information of the pixels. The interpolation unit is configured to provide missing components in each pixel according to the brightness information stored in the two line buffers, thereby outputting an image data which includes full-color brightness information associated with each pixel.

An information processing apparatus that functions as a non-limiting example image processing apparatus includes a processor. When an original image drawn with horizontally-long first pixels is to be drawn by square second pixels, the processor generates two intermediate image data in each of which the number of second pixels is 1.2 times the number of first pixels of the original image data, by generating a second area formed with six (6) second pixels arranged in a horizontal direction for each of first areas that are formed dividing the original image by every five (5) first pixels arranged in the horizontal direction, and outputs the two intermediate image data to a display control device. The display control device generates output image data by synthesizing the two intermediate image data, and outputs the generated output image data to a display. The output image data is generated in each of the second areas with colors that include colors of the second pixels at both ends, which are in agreement with colors of the first pixels at both ends in each corresponding first area and colors of the second pixels other than the both ends, each of which is generated based on colors of adjacent two first pixels in corresponding first area.

There is disclosed in one example a video processor, including: an input buffer to receive an input image; a slicer circuit to divide the input image into a plurality of N vertical slices; N parallel input buffers for de-rasterization; N parallel image scalers, wherein each scaler is hardware configured to scale in a raster form, one of the N vertical slices according to an image scaling algorithm; N parallel output buffers for rerasteriztion; and an output multiplexer to combine the scaled vertical slices into a combined scaled output image.

Disclosed herein is a camera system including, a camera apparatus having, an image sensor, a correction section, a first transmission processing section, and a synchronization processing section, and a video processing apparatus having a second transmission processing section and a conversion section, wherein the video processing apparatus outputs the video data obtained by the conversion by the conversion section.

A video signal processing method includes obtaining a first linear luminance signal based on a first linear red green blue (RGB) signal corresponding to a video signal, converting the first linear luminance signal into a first non-linear luminance signal, performing a piecewise luminance mapping on the first non-linear luminance signal to obtain a second non-linear luminance signal, converting the second non-linear luminance signal into a second linear luminance signal, calculating a luminance gain between the second linear luminance signal and the first linear luminance signal, and obtaining, based on a product of the luminance gain and the first linear RGB signal, an RGB display signal corresponding to the video signal.

Methods for encoding and decoding high-dynamic range signals are presented. The signals are encoded in a high frame rate and are accompanied by frame-rate conversion metadata defining a preferred set of frame-rate down-conversion parameters, which are determined according to the maximum luminance of a target display, display playback priority modes, or judder control modes. A decoder uses the frame-rate conversion metadata to apply frame-rate down-conversion to the input high-frame-rate signal according to at least the maximum luminance of the target display and/or the characteristics of the signal itself. Frame-based and pixel-based frame-rate conversions, and judder models for judder control via metadata are also discussed.

A method and system for comparing video and audio information at first and second spaced-apart locations on a content distribution network. Network probes are located on the network and extract a respective first and second plurality of video frames and audio segments. Two fingerprints sequences are determined from each one of the frames and segments, then the sequences are matched and time-aligned. A beginning of a matched segment is determined and the individual fingerprints within each of the fingerprint sequences are compared from the beginning of the matched segment. Fingerprints that are determined to be different during the comparison process indicate a change in video or audio content between the two probes.