@inproceedings{SisLab3452,
       booktitle = {IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2019},
           month = {June},
           title = {A LOW COMPLEXITY WYNER-ZIV CODING SOLUTION FOR LIGHT FIELD IMAGE TRANSMISSION AND STORAGE},
          author = {Cong Huy Phi and Perry Stuart and Van Xiem Hoang},
            year = {2019},
           pages = {1--5},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3452/},
        abstract = {Compressing Light Field (LF) imaging data is a challenging but very important task for both LF image transmission and storage applications. In this paper, we propose a novel coding solution for LF images using the well-known Wyner-Ziv information theorem. First, the LF image is decomposed into 4D LF data format. Using a spiral scanning mechanismprocedure, a pseudo-sequence of LF 4D images is generated. This sequence is then compressed in a distributed coding manner as specified in the Wyner-Ziv theorem. In this context, low computational complexity can be achieved at the encoder since the high computational complexity motion estimation part is shifted to the decoder{\'a} commonly. In addition, we introduce a novel adaptive frame skipping algorithm to further explore the high correlation between 4D LF images. Experimental results show that the proposed WZ coding based LF image is able to achieve a significant compression gain, notably around 54\% bitrate saving when compared with the standard High Efficiency Video Coding (HEVC) Intra benchmark while requiring less computational complexity.}
}