Name
Abstract | ||
|---|---|---|
In JPEG2000 image compression standard, context-based arithmetic coding is adopted for improving compression rate. Efficient and high throughput codec design is required for handling high-resolution images. We propose an efficient architecture for context-based adaptive arithmetic coding, which can achieve high throughput performance. Based on parallel leading zeros detection and bit-stuffing handling, a symbol can be encoded and decoded within one cycle. Therefore, throughput rate can be increased as high as codec operating frequency. The modified encoding and decoding flows are compatible with JPEG2000 standard. For 0.35μm IP4M CMOS technology, encoding and decoding rate can run up to 200 M symbol/sec and 175 M symbol/sec respectively. They only cost 6.8 K and 9.8 K gate count. These high throughput performances can meet high-resolution real time application requirement. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ISCAS.2002.1010407 | ISCAS (4) |
Keywords | Field | DocType |
encoding flows,0.35 micron,jpeg2000,image coding,context-based adaptive arithmetic codec,codecs,decoding rate,data compression,parallel leading zeros detection,bit-stuffing handling,real time application,image compression standard,cmos digital integrated circuits,decoding flows,high-resolution images,throughput,cmos,compression rate,decoding,arithmetic codes,arithmetic,entropy coding,transform coding,high resolution,image compression,cmos technology,frequency,high throughput,arithmetic coding | Throughput (business),Gate count,Data compression ratio,Computer science,Electronic engineering,Throughput,Decoding methods,Data compression,Codec,Arithmetic coding | Conference |
Volume | Citations | PageRank |
4 | 8 | 1.23 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Keng-khai Ong | 1 | 16 | 2.39 |
| Wei-Hsin Chang | 2 | 105 | 10.25 |
| Tseng-Yi Chen | 3 | 88 | 23.49 |
| Yew-san Lee | 4 | 64 | 9.24 |
| Chen-Yi Lee | 5 | 1211 | 152.40 |