@inproceedings{bf80e4652c224f44adabfce922f23e06,
title = "JPEG-based perceptual image coding with block-based image quality metric",
abstract = "A JPEG-based perceptual image coder is proposed in this work, where a block-based image quality metric is used to optimize the rate-quality (RQ) performance. Under this framework, the quality of each image block is measured using a local quality metric while the overall image quality is evaluated by summing up all local quality metrics. A rate-quality optimization (RQO) problem is formulated in each macroblock of size 16x16 based on its associated empirical RQ curve. Then, to achieve the best perceptual image quality under a given bit budget constraint, the set of optimal quantization parameters (QPs) for image blocks is solved using the Lagrangian approach. It is demonstrated that the proposed perceptual image codec offers a significant improvement over the JPEG baseline in both subjective and objective evaluations. {\textcopyright} 2012 IEEE.",
author = "Lina Jin and Karen Egiazarian and Kuo, \{C. C Jay\}",
note = "Ei UT-numeroa 15.8.2013<br/>Contribution: organisation=sgn,FACT1=1<br/>Publisher name: Institute of Electrical and Electronics Engineers IEEE; IEEE International Conference on Image Processing ; Conference date: 01-01-1900",
year = "2012",
doi = "10.1109/ICIP.2012.6467044",
language = "English",
isbn = "978-1-4673-2533-2",
series = "IEEE International Conference on Image Processing",
publisher = "IEEE",
pages = "1053--1056",
booktitle = "19th IEEE International Conference on Image Processing ICIP 2012, September 30 - October 3, Orlando, Florida, USA",
address = "United States",
}