@inproceedings{573a9e65f7e847fbb42eecafe894d41c,
title = "Selective Deblocking for Focused Lenslet Video Coding",
abstract = "Lenslet video data captured by a focused plenoptic camera usually undergo a preprocessing step of cropping their micro images and concatenating them into micro image patches before being fed into a video encoder. However, subsequent direct encoding of such preprocessed lenslet video by conventional coding methods can cause a problem of undesirable blurred boundaries between micro image patches due to deblocking filtering. In this paper, we investigate on preventing such an undesirable blurring at the micro image boundaries. The experiment results show that under random access configuration, our proposed method not only outperforms the VTM-23.0 anchor by \$1.24 \textbackslash{}\%\$ in terms of the BDrate in luma channel but also reconstructs the lenslet video with better visual quality.",
keywords = "Deblocking Filter, Lenslet video, Video Coding",
author = "Jonghoon Yim and Duong, \{Vinh Van\} and Huu, \{Thuc Nguyen\} and Byeungwoo Jeon",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 19th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB 2024 ; Conference date: 19-06-2024 Through 21-06-2024",
year = "2024",
doi = "10.1109/BMSB62888.2024.10608230",
language = "English",
series = "IEEE International Symposium on Broadband Multimedia Systems and Broadcasting, BMSB",
publisher = "IEEE Computer Society",
booktitle = "BMSB 2024 - 19th IEEE International Symposium on Broadband Multimedia Systems and Broadcasting",
}