Low-Complexity Real-Time Light Field Compression using 4-D Approximate DCT

Liyanage, Namalka; Wijenayake, Chamith; Edussooriya, Chamira U. S.; Madanayake, Arjuna; Cintra, Renato J.; Ambikairajah, Eliathamby

doi:10.1109/iscas45731.2020.9180755

Cited by 1 publication

(1 citation statement)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the light field image can be regarded as a four-dimensional form, the 4D-DWT is used to compress the light field images in [ 10 ]. In [ 11 ], a light field coding method based on 4D-DCT is proposed, which introduces four-dimensional quantization and block traversal. In [ 12 ], each subview image is regarded as the node of the graph, and the similarity between adjacent views is regarded as the edge of the graph.…”

Section: Related Workmentioning

confidence: 99%

A Novel Light Field Image Compression Method Using EPI Restoration Neural Network

Liu

Zhang

Shen

et al. 2022

BioMed Research International

View full text Add to dashboard Cite

Different from traditional images, light field images record not only spatial information but also angle information. Due to the large volume of light field data brings great difficulties to storage and compression, light field compression technology has attracted much attention. The epipolar plane image (EPI) contains a lot of low rank information, which is suitable for recovering the complete EPI from a part of EPI. In this paper, a light field image coding framework based on EPI restoration neural network has been proposed. Compared with previous algorithms, the proposed algorithm further takes advantage of the inherent similarity in light field images, and the proposed framework has higher performance and robustness. Experimental results show that the proposed method has superior performance compared to the state-of-the-art both in quantitatively and qualitatively.

show abstract

Section: Related Workmentioning

confidence: 99%