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Proceedings Paper

Image quality metrics based on scale
Author(s): Kameswara Rao Namuduri; Romain Murenzi; Lance M. Kaplan; Davida Johnson
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Paper Abstract

This paper presents a method to evaluate image quality using the continuous wavelet transform. The method utilizes a bank of filters tuned to different scales and orientations to extract the image details. The filters are designed according to the criterion suggested by Antoine and Murenzi. The wavelet transform of a given image and the reconstructed images at various quality levels are represented in the form of energy density plots. These density plots highlight image features such as edges, object boundaries and texture. Thus, they represent the details contained in the image. A quality metric is proposed based on the absolute difference between the energy densities corresponding to the original and reconstructed images. The proposed metric is used to measure the relative quality of the image. In addition, the metric is also used to study the performance of a specific ATR algorithm as a function of image quality.

Paper Details

Date Published: 26 March 1998
PDF: 10 pages
Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); doi: 10.1117/12.304874
Show Author Affiliations
Kameswara Rao Namuduri, Clark Atlanta Univ. (United States)
Romain Murenzi, Clark Atlanta Univ. (United States)
Lance M. Kaplan, Clark Atlanta Univ. (United States)
Davida Johnson, Clark Atlanta Univ. (United States)


Published in SPIE Proceedings Vol. 3391:
Wavelet Applications V
Harold H. Szu, Editor(s)

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