Name
Title | ||
|---|---|---|
Dictionary Learning-based, Directional and Optimized Prediction for Lenslet Image Coding |
Abstract | ||
|---|---|---|
In this paper, a novel approach to encode lenslet (LL) images is proposed. The method departs from traditional block-based coding structures and employs a hexagonal-shaped pixel cluster, called macro-pixel, as an elementary coding unit. A novel prediction mode based on dictionary learning is proposed, whereby macro-pixels are represented by a sparse linear combination of atoms from a generic dictionary. Additionally, an optimized linear prediction mode and a directional prediction mode specifically designed for macro-pixels are proposed. Rate-distortion optimization is utilized to select the best intra prediction mode for each macro-pixel. Experimental results on the light field image data set show that the proposed coding system outperforms HEVC and the state-of-the-art in LL image coding with an average peak signal to noise ratio gain of 3.33 and 1.41 dB, respectively, and with rate savings of 67.13% and 34.30%, respectively. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/tcsvt.2018.2826052 | IEEE Transactions on Circuits and Systems for Video Technology |
Keywords | Field | DocType |
Image coding,Cameras,Lenses,Microoptics,Dictionaries,Encoding,Redundancy | Linear combination,Lenslet,Peak signal-to-noise ratio,Pattern recognition,Computer science,Linear prediction,Coding (social sciences),Redundancy (engineering),Pixel,Artificial intelligence,Encoding (memory) | Journal |
Volume | Issue | ISSN |
29 | 4 | 1051-8215 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rui Zhong | 1 | 5 | 2.83 |
| I. Schiopu | 2 | 37 | 8.04 |
| Bruno Cornelis | 3 | 48 | 11.06 |
| Shao-Ping Lu | 4 | 83 | 12.10 |
| Junsong Yuan | 5 | 3703 | 187.68 |
| Adrian Munteanu | 6 | 664 | 80.29 |