@inproceedings{a1c6f3be01bd4eba920f3c62e1249c4e,
title = "Context adaptive thresholding and entropy coding for very low complexity JPEG transcoding",
abstract = "The ever increasing quantity of user generated photos, nearly all compressed using JPEG, has created a growing storage burden on photo storage and sharing services. This creates the need for compression techniques that take JPEG compressed images as inputs. In this paper we propose two novel very low complexity codecs, ROMP and L-ROMP to recompress JPEG photos, achieving increased coding efficiency by making use of very large entropy coding tables. ROMP is a lossless JPEG recompression codec that achieves 15% average gains over JPEG, while L-ROMP is a lossy codec that can achieve 29% average compression gains over JPEG, by applying coefficient thresholding based on a perceptual criterion to a JPEG image before using the entropy coding of ROMP.",
keywords = "JPEG, image compression",
author = "Xing Xu and Zahaib Aichta and Ramesh Govindan and Wyatt Lloyd and Antonio Ortega",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",
year = "2016",
month = may,
day = "18",
doi = "10.1109/ICASSP.2016.7471905",
language = "English (US)",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1392--1396",
booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings",
address = "United States",
}