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논문 기본 정보

자료유형
학술저널
저자정보
Chun Zhao (Sungkyunkwan University) Byeungwoo Jeon (Sungkyunkwan University)
저널정보
대한전자공학회 IEIE Transactions on Smart Processing & Computing IEIE Transactions on Smart Processing & Computing Vol.11 No.5
발행연도
2022.10
수록면
305 - 315 (11page)
DOI
10.5573/IEIESPC.2022.11.5.305

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초록· 키워드

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Light field images have drawn a great deal of interest owing to their flexible post-processing and versatile functionalities. However, the tremendous data volume has imposed a practical limit in applications, which requires a better way to represent and compress the data. In this paper, we propose a practical representation and coding scheme for light field data with a special emphasis on retaining the refocusing functionality as much as possible. Under the proposed method, light field data are represented and compressed in the form of a rendered all-in-focus image and a depth map. Before encoding, the all-in-focus image is rendered accurately based on the depth map using the proposed difference focus measure. At the decoder, a focal stack comprising multiple images having different focus levels can be reconstructed by applying a defocusing function to the compressed all-in-focus image where the defocusing function parameter depends on the selected depth level of the compressed depth map. Compared with well-known state-of-the-art methods that compress the Fourier Disparity Layer or the focal stack, the proposed coding scheme shows much smaller loss in the refocusing capability (16.2% and 17.8% less than two state-of-the-art methods) and provides PSNR improvements of 1.60㏈ to 2.38㏈ at the same compression ratio.

목차

Abstract
1. Introduction
2. Related Work
3. The Proposed Scheme
4. Performance Evaluation
5. Conclusion
References

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