Title :
An Enhancement of JPEG Still Image Compression with Adaptive Linear Regression and Golomb-Rice Coding
Author :
Chang, Chin-Chen ; Lai, Yeu-Pong
Author_Institution :
Dept. of Info. Eng. & Comput. Sci., Feng Chia Univ., Taichung, Taiwan
Abstract :
The JPEG compression method is one of the most popular compression schemes. There are many hardware and software systems based on the JPEG compression standard.This is an indication that the format is still very important before these systems become outdate. This paper presents an adaptive regression method applied to the standard JPEG compression for archiving higher compression ratios. Besides,an interesting coding scheme, Golomb-Rice coding, is introduced also for improve the JPEG standard. Since the coding scheme is not based on frequency analysis from certain of images to gain a codebook, the decoded images that are encoded with this scheme are assured in average quality. The standard JPEG compression scheme can import these two for higher compression rates or wider application fields.
Keywords :
data compression; image coding; regression analysis; Golomb-Rice coding; JPEG standard; adaptive linear regression; codebook; frequency analysis; image compression; Computer science; Decoding; Discrete wavelet transforms; Frequency; ISO standards; Image analysis; Image coding; Image quality; Linear regression; Transform coding; Golomb-Rice coding; JPEG; linear regression;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.220
