Precompression quality-control algorithm for JPEG 2000
Resource
IEEE Transactions on Image Processing 15 (11): 3279-3293
Journal
IEEE Transactions on Image Processing
Journal Volume
15
Journal Issue
11
Pages
3279-3293
Date Issued
2006
Date
2006
Author(s)
Abstract
In this paper, a precompression quality-control algorithm is proposed. It can greatly reduce computational power of the embedded block coding (EBC) and memory requirement to buffer bit streams. By using the propagation property and the randomness property of the EBC algorithm, rate and distortion of coding passes is approximately predicted. Thus, the truncation points are chosen before actual coding by the entropy coder. Therefore, the computational power, which is measured with the number of contexts to be processed, is greatly reduced since most of the computations are skipped. The memory requirement, which is measured with the amount required to buffer bit streams, is also reduced since the skipped contexts do not generate bit streams. Experimental results show that the proposed algorithm reduces the computational power of the EBC by 80% on average at 0.8 bpp compared with the conventional postcompression rate-distortion optimization algorithm. Moreover, the memory requirement is also reduced by 90%. The average PSNR degrades only about 0.1∼0.3 dB, on average. © 2006 IEEE.
Subjects
Embedded block coding with optimized truncation; JPEG 2000; Low power; Rate control; Rate distortion optimization
SDGs
Other Subjects
Algorithms; Block codes; Image coding; Image quality; Optimization; Embedded block coding; Postcompression rate-distortion optimization algorithm; Precompression quality-control algorithm; Rate control; Image compression; algorithm; article; computer assisted diagnosis; computer graphics; evaluation; image enhancement; information processing; methodology; quality control; signal processing; Algorithms; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Quality Control; Signal Processing, Computer-Assisted
Type
journal article
File(s)![Thumbnail Image]()
Loading...
Name
55.pdf
Size
979.05 KB
Format
Adobe PDF
Checksum
(MD5):89114c5af4887ac389aa4dcea91d5b7a