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用于皮肤病学的彩色医学图像的JPEG和FIF压缩比较。

A comparison of JPEG and FIF compression of color medical images for dermatology.

作者信息

Sneiderman C, Schosser R, Pearson T G

机构信息

National Library of Medicine, Bethesda, MD 20894.

出版信息

Comput Med Imaging Graph. 1994 Sep-Oct;18(5):339-42. doi: 10.1016/0895-6111(94)90004-3.

Abstract

Dermatologists were shown digitized images of skin lesions compressed by Joint Photographic Expert Group (JPEG) and fractal image format (FIF) algorithms and asked to make a diagnostic assessment and rate the image quality in displaying the features necessary for that assessment. Dermatologists performance in the diagnostic assessment was not affected by the level of compression (up to 40X) using either algorithm, but ratings of image quality for all compressed images were significantly lower than for uncompressed images and for the original photographic slides. There were no significant differences in dermatologists' performance or ratings between the two compression algorithms.

摘要

研究人员向皮肤科医生展示了通过联合图像专家组(JPEG)和分形图像格式(FIF)算法压缩的皮肤病变数字化图像,并要求他们进行诊断评估,并对图像在显示该评估所需特征方面的质量进行评分。使用这两种算法中的任何一种,皮肤科医生在诊断评估中的表现都不受压缩水平(高达40倍)的影响,但所有压缩图像的图像质量评分均显著低于未压缩图像和原始照片幻灯片。两种压缩算法在皮肤科医生的表现或评分上没有显著差异。

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