Name
Title | ||
|---|---|---|
Macro-Pixel Prediction Based on Convolutional Neural Networks for Lossless Compression of Light Field Images |
Abstract | ||
|---|---|---|
The paper introduces a novel macro-pixel prediction method based on Convolutional Neural Networks (CNN) for lossless compression of light field images. In the proposed method, each macro-pixel is predicted based on a volume of macro-pixels from its immediate causal neighborhood. The proposed deep neural network operates on these macro-pixel volumes and provides accurate macro-pixel prediction in light field images. The resulting macro-pixel residuals are encoded by a reference codec built based on the CALIC codec. A context modeling method for light field images is proposed. Experimental results on a large light field image dataset show that the proposed prediction method systematically and substantially outperforms state-of-the-art predictors. To our knowledge, the paper is the first to introduce deep-learning based prediction of macro-pixels, enabling efficient lossless compression of light field images. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICIP.2018.8451731 | 2018 25th IEEE International Conference on Image Processing (ICIP) |
Keywords | Field | DocType |
Intra prediction,macro-pixel,CNN-based prediction,lossless compression,light field images | Computer vision,Pattern recognition,Convolutional neural network,Convolution,Computer science,Light field,Context model,Artificial intelligence,Pixel,Artificial neural network,Codec,Lossless compression | Conference |
ISSN | ISBN | Citations |
1522-4880 | 978-1-4799-7062-9 | 0 |
PageRank | References | Authors |
0.34 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| I. Schiopu | 1 | 37 | 8.04 |
| Adrian Munteanu | 2 | 664 | 80.29 |