Name
Title | ||
|---|---|---|
Fast computation of residual complexity image similarity metric using low-complexity transforms. |
Abstract | ||
|---|---|---|
The authors apply two approaches to reduce the computation time of the residual complexity similarity metric employed in image registration applications aimed at hardware-based implementations with low-complexity transforms. First, the similarity metric is computed in image sub-blocks, which are subsequently combined into a global metric value. Second, the discrete cosine transform (DCT) needed in... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1049/iet-ipr.2014.0939 | IET Image Processing |
Keywords | Field | DocType |
computational complexity,discrete cosine transforms,Hadamard transforms,image registration | Residual,Pattern recognition,Similarity measure,Discrete cosine transform,Artificial intelligence,Hadamard transform,Image compression,Mathematics,Image registration,Computation,Computational complexity theory | Journal |
Volume | Issue | ISSN |
9 | 8 | 1751-9659 |
Citations | PageRank | References |
2 | 0.40 | 7 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yves Pauchard | 1 | 2 | 0.40 |
| Renato J. Cintra | 2 | 218 | 26.82 |
| Arjuna Madanayake | 3 | 242 | 53.31 |
| Fábio M. Bayer | 4 | 126 | 12.89 |