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A LOW COMPLEXITY WYNER-ZIV CODING SOLUTION FOR LIGHT FIELD IMAGE TRANSMISSION AND STORAGE

Phi, Cong Huy and Stuart, Perry and Hoang, Van Xiem (2019) A LOW COMPLEXITY WYNER-ZIV CODING SOLUTION FOR LIGHT FIELD IMAGE TRANSMISSION AND STORAGE. In: IEEE International Symposium on Broadband Multimedia Systems and Broadcasting 2019. (In Press)

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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√° 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.

Item Type: Conference or Workshop Item (Lecture)
Subjects: Electronics and Communications
Information Technology (IT)
Divisions: Faculty of Electronics and Telecommunications (FET)
Depositing User: Dr. Xiem HoangVan
Date Deposited: 27 May 2019 08:30
Last Modified: 27 May 2019 08:30
URI: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/3452

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