%A Cong Huy Phi
%A Perry Stuart
%A Van Xiem Hoang
%T A LOW COMPLEXITY WYNER-ZIV CODING SOLUTION FOR LIGHT FIELD IMAGE TRANSMISSION AND STORAGE
%X 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 decoderá 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.
%D 2019
%P 1-5
%L SisLab3452