Document Type
Article
Department or Administrative Unit
Computer Science
Publication Date
4-9-2017
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.
Recommended Citation
D. G. Fernández, A. A. Del Barrio, Guillermo Botella, Uwe Meyer-Baese, Anke Meyer-Baese, and Christos Grecos "Pre-processing techniques to improve HEVC subjective quality", Proc. SPIE 10223, Real-Time Image and Video Processing 2017, 102230E (1 May 2017); https://doi.org/10.1117/12.2260433
Journal
Proceedings of SPIE
Rights
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Comments
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