Zhong, R., Schiopu, I., Cornelis, B., Lu, S., Yuan, J., & Munteanu, A. (2018). Dictionary Learning-based, Directional and Optimized Prediction for Lenslet Image Coding. IEEE Transactions on Circuits and Systems for Video Technology, 29(4), 1116-1129. Article 8336908. https://doi.org/10.1109/TCSVT.2018.2826052

@article{b2bbbecb94a74de38233885ab0df47a8,
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.",
keywords = "Cameras, Dictionaries, Encoding, Image coding, Lenses, Microoptics, Redundancy",
author = "Rui Zhong and Ionut Schiopu and Bruno Cornelis and Shaoping Lu and Junsong Yuan and Adrian Munteanu",
year = "2018",
month = apr,
day = "12",
doi = "10.1109/TCSVT.2018.2826052",
language = "English",
volume = "29",
pages = "1116--1129",
journal = "IEEE Transactions on Circuits and Systems for Video Technology",
issn = "1051-8215",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",
}