Title :
Fast progressive wavelet coding
Author :
Malvar, Henrique S.
Author_Institution :
Microsoft Res., Redmond, WA, USA
Abstract :
Fast and efficient image compression can be achieved with the progressive wavelet coder (PWC) introduced. Unlike many previous wavelet coders, PWC does not rely on zerotrees or other ordering schemes based on parent-child wavelet relationships. PWC has a very simple structure, based on two key concepts: (1) data-independent reordering and blocking, and (2) low-complexity independent encoding of each block via adaptive Rice coding of bit planes. In that way, PWC allows for progressive image encoding that is scalable both in resolution and bit rate, with a fully embedded bitstream. PWC achieves a rate/distortion performance that is comparable to that of the state-of-the-art SPIHT (set partitioning in hierarchical trees) coder, but with a better performance/complexity ratio
Keywords :
adaptive codes; computational complexity; data compression; image coding; image resolution; rate distortion theory; transform coding; wavelet transforms; adaptive Rice coding; bit planes; data-independent blocking; data-independent reordering; embedded bitstream; image compression; low-complexity independent encoding; progressive image encoding; progressive wavelet coding; rate/distortion performance; resolution; scalable image encoding; Bandwidth; Bit rate; Clustering algorithms; Entropy; Image coding; Image resolution; Rate distortion theory; Spatial resolution; Transform coding; Wavelet coefficients; Web pages;
Conference_Titel :
Data Compression Conference, 1999. Proceedings. DCC '99
Conference_Location :
Snowbird, UT
Print_ISBN :
0-7695-0096-X
DOI :
10.1109/DCC.1999.755683