TY - GEN
T1 - Perception-Optimized Encoding for Visually Lossy Image Compression
AU - Lin, Yuzhang
AU - Liu, Feng
AU - Hernandez-Cabronero, Miguel
AU - Ahanonu, Eze
AU - Marcellin, Michael
AU - Bilgin, Ali
AU - Ashok, Amit
N1 - Funding Information:
Figure 1: Comparisons of the proposed encoder (yellow curves) with conventional MSE encoder and JND-metric based encoder using HDRVDP-predicted MOS metric. HDRVDP-predicted MOS has a range of 0-100 with 100 being the best quality. Acknowledgment: The work was supported by the National Institutes of Health (NIH)/National Cancer Institute (NCI) under grant 1U01CA198945.
Funding Information:
The work was supported by the National Institutes of Health (NIH)/National Cancer Institute (NCI) under grant 1U01CA198945.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5/10
Y1 - 2019/5/10
N2 - We propose a compression encoding method to perceptually optimize the image quality based on a novel quality metric, which emulates how the human visual system form opinion of a compressed image. Compared to the existing perceptual-optimized compression methods, which usually aim to minimize the detectability of compression artifacts and are sub-optimal in visually lossless regime, the proposed encoder aims to operate in the visually lossy regime. We implement the proposed encoder within the JPEG 2000 standard, and demonstrate its advantage over both detectability-based and conventional MSE encoders.
AB - We propose a compression encoding method to perceptually optimize the image quality based on a novel quality metric, which emulates how the human visual system form opinion of a compressed image. Compared to the existing perceptual-optimized compression methods, which usually aim to minimize the detectability of compression artifacts and are sub-optimal in visually lossless regime, the proposed encoder aims to operate in the visually lossy regime. We implement the proposed encoder within the JPEG 2000 standard, and demonstrate its advantage over both detectability-based and conventional MSE encoders.
KW - Image Quality
KW - Image compression
KW - JPEG 2000
KW - Perceptual Compression
UR - http://www.scopus.com/inward/record.url?scp=85066325462&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066325462&partnerID=8YFLogxK
U2 - 10.1109/DCC.2019.00104
DO - 10.1109/DCC.2019.00104
M3 - Conference contribution
AN - SCOPUS:85066325462
T3 - Data Compression Conference Proceedings
SP - 592
BT - Proceedings - DCC 2019
A2 - Storer, James A.
A2 - Bilgin, Ali
A2 - Marcellin, Michael W.
A2 - Serra-Sagrista, Joan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 Data Compression Conference, DCC 2019
Y2 - 26 March 2019 through 29 March 2019
ER -