@inproceedings{639fcb3fe4304905bc30efd72ee5470e,
title = "Light field image coding for efficient refocusing",
abstract = "In video-based light field image coding, researchers often encode a selected subset of sub-aperture images (SAIs). The subset is heuristically selected as 9x9, 11x11, or 13x13 SAIs out of full 15x15 SAIs. Previous work has focused only on the compression efficiency without light field functionality such as refocusing. This paper evaluates the impact of selecting subset of SAIs not only on the compression quality but also on the quality of refocused light field image. A subset of SAIs is proposed to achieve both comparable compression performance and good quality of the refocused images. Compared to full 15x15 SAIs, our method reduces bitrate by 18.4\% in viewpoint of compression and at the same time, maintains a good quality of refocused images.",
keywords = "Image compression, Light field coding, Refocusing, Video compression, Video-based",
author = "\{Van Duong\}, Vinh and \{Nguyen Canh\}, Thuong and Byeungwoo Jeon",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 12th IEEE International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2018 ; Conference date: 12-09-2018 Through 14-09-2018",
year = "2018",
month = nov,
day = "16",
doi = "10.1109/MCSoC2018.2018.00024",
language = "English",
series = "Proceedings - 2018 IEEE 12th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "74--78",
booktitle = "Proceedings - 2018 IEEE 12th International Symposium on Embedded Multicore/Many-Core Systems-on-Chip, MCSoC 2018",
}