Name
Title | ||
|---|---|---|
JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures |
Abstract | ||
|---|---|---|
JPEG has been a widely used lossy image compression codec for nearly three decades. The JPEG standard allows to use customized quantization table; however, it's still a challenging problem to find an optimal quantization table within acceptable computational cost. This work tries to solve the dilemma of balancing between computational cost and image specific optimality by introducing a new concept... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DCC50243.2021.00041 | 2021 Data Compression Conference (DCC) |
Keywords | DocType | ISSN |
Image texture,Quantization (signal),Image coding,Fuses,Transform coding,Simulated annealing,Predictive models | Conference | 1068-0314 |
ISBN | Citations | PageRank |
978-1-6654-0333-7 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chen-hsiu Huang | 1 | 3 | 0.77 |
| Ja-ling Wu | 2 | 1569 | 168.11 |