Name
Abstract | ||
|---|---|---|
This paper proposes a new framework for digital image processing; it relies on inexact computing to address some of the challenges associated with the discrete cosine transform (DCT) compression. The proposed framework has three levels of processing; the first level uses approximate DCT for image compressing to eliminate all computational intensive floating-point multiplications and executing the ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TC.2017.2731770 | IEEE Transactions on Computers |
Keywords | Field | DocType |
Discrete cosine transforms,Image coding,Adders,Approximation algorithms,Algorithm design and analysis,Delays,Signal processing algorithms | Approximation algorithm,Adder,Computer science,Parallel computing,Discrete cosine transform,Algorithm,Image processing,Filter (signal processing),Digital image processing,Energy consumption,Image compression | Journal |
Volume | Issue | ISSN |
67 | 2 | 0018-9340 |
Citations | PageRank | References |
4 | 0.44 | 19 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haider A. F. Almurib | 1 | 47 | 13.48 |
| T. Nandha Kumar | 2 | 47 | 10.94 |
| Fabrizio Lombardi | 3 | 57 | 10.81 |