DocumentCode :
1464475
Title :
Progressive Significance Map and Its Application to Error-Resilient Image Transmission
Author :
Hu, Yang ; Pearlman, William A. ; Li, Xin
Author_Institution :
Dept. of Electr., Comput., & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
Volume :
21
Issue :
7
fYear :
2012
fDate :
7/1/2012 12:00:00 AM
Firstpage :
3229
Lastpage :
3238
Abstract :
Set partition coding (SPC) has shown tremendous success in image compression. Despite its popularity, the lack of error resilience remains a significant challenge to the transmission of images in error-prone environments. In this paper, we propose a novel data representation called the progressive significance map (prog-sig-map) for error-resilient SPC. It structures the significance map (sig-map) into two parts: a high-level summation sig-map and a low-level complementary sig-map (comp-sig-map). Such a structured representation of the sig-map allows us to improve its error-resilient property at the price of only a slight sacrifice in compression efficiency. For example, we have found that a fixed-length coding of the comp-sig-map in the prog-sig-map renders 64% of the coded bitstream insensitive to bit errors, compared with 40% with that of the conventional sig-map. Simulation results have shown that the prog-sig-map can achieve highly competitive rate-distortion performance for binary symmetric channels while maintaining low computational complexity. Moreover, we note that prog-sig-map is complementary to existing independent packetization and channel-coding-based error-resilient approaches and readily lends itself to other source coding applications such as distributed video coding.
Keywords :
binary codes; channel coding; computational complexity; data compression; image coding; image representation; source coding; SPC; binary symmetric channels; channel-coding; comp-sig-map; data representation; distributed video coding; error-resilient image transmission approach; fixed-length coding; high-level summation sig-map; independent packetization; low computational complexity; low-level complementary sig-map; prog-sig-map; progressive significance map; set partition coding; source coding; Decoding; Entropy coding; Forward error correction; Image coding; Resilience; Synchronization; Wavelet transforms; Error resilience; image transmission; set partition coding (SPC); set partitioning in hierarchical trees (SPIHT); significance map (sig-map);
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2012.2190084
Filename :
6165359
Link To Document :
بازگشت