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Proceedings Paper

Pre-processing techniques to improve HEVC subjective quality
Author(s): D. G. Fernández; A. A. Del Barrio; Guillermo Botella; Uwe Meyer-Baese; Anke Meyer-Baese; Christos Grecos
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Paper Abstract

Nowadays, HEVC is the cutting edge encoding standard being the most efficient solution for transmission of video content. In this paper a subjective quality improvement based on pre-processing algorithms for homogeneous and chaotic regions detection is proposed and evaluated for low bit-rate applications at high resolutions. This goal is achieved by means of a texture classification applied to the input frames. Furthermore, these calculations help also reduce the complexity of the HEVC encoder. Therefore both the subjective quality and the HEVC performance are improved.

Paper Details

Date Published: 1 May 2017
PDF: 8 pages
Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230E (1 May 2017); doi: 10.1117/12.2260433
Show Author Affiliations
D. G. Fernández, Univ. Complutense de Madrid (Spain)
A. A. Del Barrio, Univ. Complutense de Madrid (Spain)
Guillermo Botella, Univ. Complutense de Madrid (Spain)
Uwe Meyer-Baese, Florida State Univ. (United States)
Anke Meyer-Baese, Florida State Univ. (United States)
Christos Grecos, Central Washington Univ. (United States)


Published in SPIE Proceedings Vol. 10223:
Real-Time Image and Video Processing 2017
Nasser Kehtarnavaz; Matthias F. Carlsohn, Editor(s)

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