
Proceedings Paper
Backwards compatible high dynamic range video compressionFormat | Member Price | Non-Member Price |
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Paper Abstract
This paper presents a two layer CODEC architecture for high dynamic range video compression. The base layer contains the tone mapped video stream encoded with 8 bits per component which can be decoded using conventional equipment. The base layer content is optimized for rendering on low dynamic range displays. The enhancement layer contains the image difference, in perceptually uniform color space, between the result of inverse tone mapped base layer content and the original video stream. Prediction of the high dynamic range content reduces the redundancy in the transmitted data while still preserves highlights and out-of-gamut colors. Perceptually uniform colorspace enables using standard ratedistortion optimization algorithms.
We present techniques for efficient implementation and encoding of non-uniform tone mapping operators with low overhead in terms of bitstream size and number of operations. The transform representation is based on human vision system model and suitable for global and local tone mapping operators. The compression techniques include predicting the transform parameters from previously decoded frames and from already decoded data for current frame. Different video compression techniques are compared: backwards compatible and non-backwards compatible using AVC and HEVC codecs.
Paper Details
Date Published: 17 February 2014
PDF: 9 pages
Proc. SPIE 9029, Visual Information Processing and Communication V, 902907 (17 February 2014); doi: 10.1117/12.2042513
Published in SPIE Proceedings Vol. 9029:
Visual Information Processing and Communication V
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)
PDF: 9 pages
Proc. SPIE 9029, Visual Information Processing and Communication V, 902907 (17 February 2014); doi: 10.1117/12.2042513
Show Author Affiliations
Vladimir Dolzhenko, Apical Imaging Ltd. (United Kingdom)
Vyacheslav Chesnokov, Apical Imaging Ltd. (United Kingdom)
Vyacheslav Chesnokov, Apical Imaging Ltd. (United Kingdom)
Eran A. Edirisinghe, Loughborough Univ. (United Kingdom)
Published in SPIE Proceedings Vol. 9029:
Visual Information Processing and Communication V
Amir Said; Onur G. Guleryuz; Robert L. Stevenson, Editor(s)
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