@inproceedings{9d21a2452e20492182a0bae7a21428da,
title = "Objective image quality evaluation for JPEG, JPEG 2000, and Vidware Vision{\texttrademark}",
abstract = "In this paper, three compression methods, JPEG, JPEG 2000, and Vidware Vision{\texttrademark} are evaluated by different full- and no-reference objective image quality measures including Peak-Signal-to-Noise-Ratio (PSNR), structural similarity (SSIM), and Tenengrad. In the meantime, we also propose an image sharpness measure, non-separable rational function based Tenengrad(NSRT 2), to address whether the compression method is appropriate to be used in a machine recognition application. Based on our experimental results Vidware Vision{\texttrademark} is more robust to changes in compression ratio and presents gradually degraded performance at a considerably slower speed thus outperforming JPEG and JPEG 2000 when the compression ratio is smaller than 0.7\%. Furthermore, the effectiveness of our proposed measurement, NSRT 2, is also validated via experiments and performance comparisons with other objective image quality measures.",
keywords = "Image compression, Image quality, JPEG, JPEG 2000, Mage sharpness, Vidware Vision{\texttrademark}",
author = "Chen, \{Chung Hao\} and Yi Yao and Page, \{David L.\} and Besma Abidi and Andreas Koschan and Mongi Abidi",
year = "2006",
doi = "10.1007/11949534\_75",
language = "English",
isbn = "354068297X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "751--760",
booktitle = "Advances in Image and Video Technology - First Pacific Rim Symposium, PSIVT 2006, Proceedings",
note = "1st Pacific Rim Symposium on Image and Video Technology, PSIVT 2006 ; Conference date: 10-12-2006 Through 13-12-2006",
}