Discrete-cosine-transform-based image compression applied to dermatology

John P. Cookson; Charles Sneiderman; Christopher Rivera

doi:10.1117/12.45189

1 May 1991 Discrete-cosine-transform-based image compression applied to dermatology

John P. Cookson, Charles Sneiderman, Christopher Rivera

Proceedings Volume 1444, Medical Imaging V: Image Capture, Formatting, and Display; (1991) https://doi.org/10.1117/12.45189
Event: Medical Imaging '91, 1991, San Jose, CA, United States

Abstract

The research reported in this paper concerns an evaluation of the impact of compression on the quality of digitized color dermatologic images. 35 mm slides of four morphologic types of skin lesions were captured at 1000 pixels per inch (ppi) in 24 bit RGB color, to give an approximate 1K X 1K image. The discrete cosine transform (DCT) algorithm, was applied to the resulting image files to achieve compression ratios of about 7:1, 28:1, and 70:1. The original scans and the decompressed files were written to a 35 mm film recorder. Together with the original photo slides, the slides resulting from digital images were evaluated in a study of morphology recognition and image quality assessment. A panel of dermatologists was asked to identify the morphology depicted and to rate the image quality of each slide. The images were shown in a progression from highest level of compression to original photo slides. We conclude that the use of DCT file compression yields acceptable performance for skin lesion images since differences in morphology recognition performance do not correlate significantly with the use of original photos versus compressed versions. Additionally, image quality evaluation does not correlate significantly with level of compression.

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John P. Cookson, Charles Sneiderman, and Christopher Rivera "Discrete-cosine-transform-based image compression applied to dermatology", Proc. SPIE 1444, Medical Imaging V: Image Capture, Formatting, and Display, (1 May 1991); https://doi.org/10.1117/12.45189

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KEYWORDS

Image compression

Image quality

Skin

Dermatology

Signal processing

Digital imaging

Digital signal processing

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