Pseudo Sequence based 2-D hierarchical reference structure for Light-Field Image Compression

TL;DR

This paper introduces a novel 2-D hierarchical reference structure for light-field image compression that improves efficiency by organizing views based on spatial coordinates and optimizing reference selection, achieving significant bit-rate savings.

Contribution

The paper proposes a new pseudo sequence based 2-D hierarchical reference structure for light-field image compression, enhancing correlation exploitation and reducing bit-rate.

Findings

Achieves up to 14.2% bit-rate reduction.

Effectively exploits spatial and view correlations.

Improves reference frame selection and motion vector scaling.

Abstract

In this paper, we present a novel pseudo sequence based 2-D hierarchical reference structure for light-field image compression. In the proposed scheme, we first decompose the light-field image into multiple views and organize them into a 2-D coding structure according to the spatial coordinates of the corresponding microlens. Then we mainly develop three technologies to optimize the 2-D coding structure. First, we divide all the views into four quadrants, and all the views are encoded one quadrant after another to reduce the reference buffer size as much as possible. Inside each quadrant, all the views are encoded hierarchically to fully exploit the correlations between different views. Second, we propose to use the distance between the current view and its reference views as the criteria for selecting better reference frames for each inter view. Third, we propose to use the spatial relative positions between different views to achieve more accurate motion vector scaling. The whole scheme is implemented in the reference software of High Efficiency Video Coding. The experimental results demonstrate that the proposed novel pseudo-sequence based 2-D hierarchical structure can achieve maximum 14.2% bit-rate savings compared with the state-of-the-art light-field image compression method.