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Method and apparatus for encoding high dynamic range video

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TLDR
In this paper, a method and apparatus for encoding high dynamic range video by means of video compression is presented, which comprises the steps of providing high-dynamic range (HDR) tristimulus color data (XYZ) for each frame of the video and threshold versus intensity data for a human observer; constructing a perceptually conservative luminance transformation from continuous luminance data (Y) to discrete values (Lp) using the human observer.
Abstract
A method and apparatus for encoding high dynamic range video by means of video compression is shown. The method comprises the steps of providing high dynamic range (HDR) tristimulus color data (XYZ) for each frame of the video and threshold versus intensity data for a human observer; constructing a perceptually conservative luminance transformation from continuous luminance data (Y) to discrete values (Lp) using said threshold versus intensity data for the human observer; transforming the HDR tristimulus color data into perceptually linear color data of three color channels (Lp, u′, v′) for obtaining visually lossless compressed frames; estimating motion vector of said consecutive frames of the video and compensating the difference of the tristimulus color data for performing an inter-frame encoding and an inter-frame compression; transforming the compensated differences of the tristimulus color data to frequency space data; quantizing said frequency space data; variable-length encoding of the quantized frequency space data and storing or transmitting a stream of visual data resulting from the encoded quantized frequency space data.

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References
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Proceedings ArticleDOI

High dynamic range video

TL;DR: This paper describes the approach to generate high dynamic range (HDR) video from an image sequence of a dynamic scene captured while rapidly varying the exposure of each frame, and how to compensate for scene and camera movement when creating an HDR still from a series of bracketed still photographs.
Proceedings ArticleDOI

A tone mapping algorithm for high contrast images

TL;DR: This work takes as an input a high dynamic range image and maps it into a limited range of luminance values reproducible by a display device and follows functionality of HVS without attempting to construct its sophisticated model.
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Automatic edge detection using 3 × 3 ideal binary pixel patterns and fuzzy-based edge thresholding

TL;DR: An edge magnitude and direction scheme that uses 3 × 3 ideal binary pixel patterns and a lookup table and final edges are determined automatically using the non-maximum suppression with edge confidence measure and fuzzy-based edge thresholding, even in a changing environment.
Patent

Region-based information compaction as for digital images

TL;DR: In this paper, a method and apparatus for preserving the dynamic range of a relatively high dynamic range information stream (S1), illustratively a high resolution video signal, subjected to a relatively low dynamic range encoding (230, 15) and/or transport (235, 30) process(es).
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Hybrid image compression system

TL;DR: In this paper, a bandwidth reduction system which encodes images without significant degradation of edge information is proposed, in which a PCM encoded signal, which may be an image generated by the sampling of a video signal or of other format, is separated into two channels in which the upper bit plane is processed in one channel by an entropy preserving encoding process and the lower bit planes are processed in the other channel by a nonentropy-preserving encoding process.