Paper
26 March 1998 Image quality metrics based on scale
Kameswara Rao Namuduri, Romain Murenzi, Lance M. Kaplan, Davida Johnson
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kameswara Rao Namuduri, Romain Murenzi, Lance M. Kaplan, and Davida Johnson "Image quality metrics based on scale", Proc. SPIE 3391, Wavelet Applications V, (26 March 1998); https://doi.org/10.1117/12.304874
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KEYWORDS
Image quality

Wavelets

Image compression

Continuous wavelet transforms

Detection and tracking algorithms

Wavelet transforms

Automatic target recognition

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