Abstract | ||
---|---|---|
We explore several local and global strategies for adaptive scan ordering of transform coefficients in JPEG XR/HD Photo. This codec applies a global adaptive scan-order heuristic with respect to an effective localized predictor. The global ordering heuristic, although simple, performs as well as localized techniques that are computationally significantly more complex. We conclude that effective localized prediction not only minimizes but also essentially randomizes coefficient residuals, so that a global statistic is sufficient to deliver near-optimal compression performance. |
Year | DOI | Venue |
---|---|---|
2010 | 10.1109/DCC.2010.13 | Data Compression Conference |
Keywords | Field | DocType |
data compression,image coding,HD Photo,JPEG XR,adaptive coefficient scanning,global ordering heuristic,optimal compression performance,HD Photo,JPEG,JPEG XR,image coding,image compression,lapped transforms | Computer vision,High-definition video,Heuristic,Entropy encoding,Computer science,Transform coding,JPEG,Artificial intelligence,Data compression,Codec,Image compression | Conference |
ISSN | ISBN | Citations |
1068-0314 E-ISBN : 978-1-4244-6426-5 | 978-1-4244-6426-5 | 2 |
PageRank | References | Authors |
0.41 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vanessa Testoni | 1 | 2 | 0.41 |
Max H. M. Costa | 2 | 1375 | 243.12 |
Kirovski, D. | 3 | 13 | 1.74 |
Henrique Malvar | 4 | 690 | 105.66 |