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HDR color conversion with varying distortion metrics
Author(s): Andrey Norkin
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Paper Abstract

The paper compares three algorithms, which attenuate artifacts that may appear in HDR video in Y'CbCr 4:2:0 format. The algorithms attenuate artifacts in colors at the color gamut boundaries while also improving the objective quality. Two closed form solutions demonstrate the same subjective quality as the iterative approach, while being computationally simpler. One of the closed form solutions also shows similar objective results to the iterative algorithm. The choice of the upsampling filter in the pre-processing stage is important and may negatively affect both the objective and subjective quality if there is a mismatch with the upsampling filter used in the reconstruction.

Paper Details

Date Published: 27 September 2016
PDF: 11 pages
Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99710E (27 September 2016); doi: 10.1117/12.2237040
Show Author Affiliations
Andrey Norkin, Netflix, Inc. (United States)

Published in SPIE Proceedings Vol. 9971:
Applications of Digital Image Processing XXXIX
Andrew G. Tescher, Editor(s)

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