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http://dx.doi.org/10.6109/jkiice.2018.22.3.425

Super-resolution Reconstruction Method for Plenoptic Images based on Reliability of Disparity  

Jeong, Min-Chang (Graduate School of Information and Communication Engineering, Chungbuk National University)
Kim, Song-Ran (Graduate School of Information and Communication Engineering, Chungbuk National University)
Kang, Hyun-Soo (Graduate School of Information and Communication Engineering, Chungbuk National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.22, no.3, 2018 , pp. 425-433 More about this Journal
Abstract
In this paper, we propose a super-resolution reconstruction algorithm for plenoptic images based on the reliability of disparity. The subperture image generated by the Flanoptic camera image is used for disparity estimation and reconstruction of super-resolution image based on TV_L1 algorithm. In particular, the proposed image reconstruction method is effective in the boundary region where disparity may be relatively inaccurate. The determination of reliability of disparity vector is based on the upper, lower, left and right positional relationship of the sub-aperture image. In our method, the unreliable vectors are excluded in reconstruction. The performance of the proposed method was evaluated by comparing to a bicubic interpolation method, a conventional disparity based method and dictionary based method. The experimental results show that the proposed method provides the best performance in terms of PSNR(Peak Signal to noise ratio), SSIM(Structural Similarity).
Keywords
super-resolution; plenoptic images; light field camera; disparity;
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