Authors: Tingyi Zheng; Li Wang
Addresses: College of Computer Science and Technology, Taiyuan University of Technology, Shanxi, China; Department of Electrical and Power Engineering, Shanxi Institute of Energy, Shanxi, China ' College of Computer Science and Technology, Taiyuan University of Technology, Shanxi, China
Abstract: Image quality is a fundamental concern in image compression. There is a lot of noise in image compression process, which may impact on users not getting precise identification. It has, thus, always been neglected in image compression in the past researches. In fact, noise takes a beneficial role in image reconstruction. In this paper, we chose noise as considered and recommended as a coding method for Bayer pattern image based on online dictionary learning. Investigations have depicted that the proposed method in Bayer pattern image coding might develop the rate of distortion performance of Bayer pattern image coding at any rate.
Keywords: Bayer pattern image; online dictionary learning; ODL; rate distortion; image compression.
International Journal of Computational Science and Engineering, 2018 Vol.16 No.2, pp.132 - 140
Available online: 07 Mar 2018 *Full-text access for editors Access for subscribers Purchase this article Comment on this article