@inproceedings{5d522e0436374fc9954d978e049b3fec,
title = "Optimizing Subjective Quality in HEVC-MSP: An Approximate Closed-form Image Compression Approach",
abstract = "HEVC, as the latest video coding standard, achieves top performance on image compression. On the basis of this, we propose a novel approach to optimize subjective quality for HEVC-based image compression. Specifically, a bit allocation formulation is established to optimize subjective quality with constraint on bit-rates. Then, we propose a recursive Taylor expansion method to quickly solve such a formulation with an approximate closed-form solution. The experimental results show the superior performance of our approach, with \textasciitilde{}40\% BD-rate saving over the state-of-the-art HEVC-MSP for face image compression.",
keywords = "HEVC, perceptual image compression, saliency detection",
author = "Shengxi Li and Mai Xu and Yun Ren and Chengzhang Ma and Zulin Wang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 Data Compression Conference, DCC 2016 ; Conference date: 29-03-2016 Through 01-04-2016",
year = "2016",
month = dec,
day = "15",
doi = "10.1109/DCC.2016.10",
language = "英语",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "437--446",
editor = "Marcellin, \{Michael W.\} and Ali Bilgin and Joan Serra-Sagrista and Storer, \{James A.\}",
booktitle = "Proceedings - DCC 2016",
address = "美国",
}