RDO-based Secondary Prediction Scheme for Image Compression

Hongkui Wang, Junhui Liang, Yamei Chen, Hailang Yang, Shengwei Wang, Li Yu, Ning Wang, Zhengang Li; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2019, pp. 0-0

Abstract


Image compression plays an important role in information transmission. To further improve its efya...iency, this paper proposes an rate-distortion optimization (RDO) based secondary prediction scheme. In this scheme, the block is predicted twice and the optimal prediction is chosen out with a content-based RDO. Speciya...ally, the content property is introduced into prediction and a content-based RDO is proposed at ya> st. Then, a secondary prediction scheme is developed and the block is predicted once again with a distance-based bi-directional prediction method. In order to verify the effectiveness of our scheme, it is incorporated into the latest test model of versatile video coding standard for image compression. Compared with existing image codecs, experimental results show that our codec has the lowest decoding complexity and achieves best quality at the similar compression ratio.

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[bibtex]
@InProceedings{Wang_2019_CVPR_Workshops,
author = {Wang, Hongkui and Liang, Junhui and Chen, Yamei and Yang, Hailang and Wang, Shengwei and Yu, Li and Wang, Ning and Li, Zhengang},
title = {RDO-based Secondary Prediction Scheme for Image Compression},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2019}
}