Automatic quality assessment of JPEG and JPEG 2000 compressed images

Walter F. Good; Glenn S. Maitz; Xiao Hui Wang

doi:10.1117/12.467050

9 May 2002 Automatic quality assessment of JPEG and JPEG 2000 compressed images

Walter F. Good, Glenn S. Maitz, Xiao Hui Wang

Proceedings Volume 4684, Medical Imaging 2002: Image Processing; (2002) https://doi.org/10.1117/12.467050
Event: Medical Imaging 2002, 2002, San Diego, California, United States

Abstract

A novel figure-of-merit (FOM) for automatically quantifying the types of artifacts that appear in compressed images was investigated. This FOM is based on task specific linear combinations of magnitude, frequency and 'localized' structure information derived from difference images. For each elemental diagnostic task (e.g., detection of microcalcifications) a value is calculated as the weighted linear combination of the output of an array of filters, and the FOM is defined to be the maximum of these values, taken over all relevant diagnostic tasks. This FOM was tested by applying it to a previously assembled set of 60 mammograms that had been digitized and compressed at five different compression levels using our version of the original JPEG algorithm. The FOM results were compared to subjective assessments of image quality provided by nine radiologists. A subset consisting of 25 images was also processed with the JPEG 2000 algorithm and evaluated by the FOM. A significant correlation existed between readers' subjective ratings and FOMs for JPEG compressed images. A comparison between the results of the two compression algorithms reveals that, to achieve a comparable FOM level, the JPEG 2000 images were compressed at a bitrate that was typically 15% lower than that of images compressed with the original JPEG algorithm.

Citation Download Citation

Walter F. Good, Glenn S. Maitz, and Xiao Hui Wang "Automatic quality assessment of JPEG and JPEG 2000 compressed images", Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); https://doi.org/10.1117/12.467050

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KEYWORDS

Image compression

Mammography

Image quality

Diagnostics

Image filtering

Tissues

Linear filtering

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