Name
Title | ||
|---|---|---|
3-D Mean-Separation-Type Short-Time Dft With Its Application To Moving-Image Denoising |
Abstract | ||
|---|---|---|
Although for a still image the 2-D DFT and the 2-D DCT have similar properties to each other, for a moving-image sequence the 3-D DFT gets an advantage of representing the sequence more compactly over the 3-D DCT. Through the mathematical analysis of the 3-D DFT and the 3-D DCT based on a simple signal model of a moving-image sequence, this paper shows that the even symmetrization employed implicitly by the 3-D DCT may cause deterioration of representation efficiency and hence the 3-D DFT can achieve better representation efficiency than the 3-D DCT. In addition, to improve the suitability of the 3-D short-time DFT to processing of video signals which generally have significant local DC components carrying important structural information, this paper introduces a technique of local-mean-separation as a preprocess of the 3-D short-time DFT, thus to construct 3-D mean separation-type ST-DFT; applies it to video denoising, and demonstrates its advantage over the existing 3-D transforms through experimental simulations of video denoising. |
Year | Venue | Keywords |
|---|---|---|
2017 | 2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 3-D transform, short-time DFT, local-mean separation, phase-preserving-type shrinkage, video processing |
Field | DocType | ISSN |
Pattern recognition,Computer science,Discrete cosine transform,Symmetrization,Artificial intelligence,Image denoising,Video denoising | Conference | 1522-4880 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Takashi Komatsu | 1 | 113 | 33.96 |
| Ken Tyon | 2 | 0 | 0.34 |
| Takahiro Saito | 3 | 100 | 30.46 |