Name
Abstract | ||
|---|---|---|
JPEG compression based on the discrete cosine transform is a key building block in low-power multimedia applications. Approximate computation techniques are used to exploit the error tolerance of JPEG. An image-dependent framework is proposed in this paper to design optimized approximate hardware with variable approximate bit-widths for a user-specified error budget. The proposed method can dynami... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TCAD.2018.2808224 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | Field | DocType |
Discrete cosine transforms,Transform coding,Image coding,Optimization,Adders,Hardware,Two dimensional displays | Adder,Computer science,Nonlinear programming,Discrete cosine transform,Transform coding,JPEG,Pixel,Computer hardware,Image compression,Computation | Journal |
Volume | Issue | ISSN |
38 | 2 | 0278-0070 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Farhana Sharmin Snigdha | 1 | 17 | 3.49 |
| Deepashree Sengupta | 2 | 28 | 3.71 |
| Jiang Hu | 3 | 668 | 65.67 |
| Sachin Sapatnekar | 4 | 4074 | 361.60 |