Quantitative evaluation of wavelet-based image processing algorithms

Zhenxue Jing; Yisheng Zheng; Walter Huda; Andrew F. Laine; Jian Fan; Yunong Xing

doi:10.1117/12.188807

11 October 1994 Quantitative evaluation of wavelet-based image processing algorithms

Zhenxue Jing, Yisheng Zheng, Walter Huda, Andrew F. Laine, Jian Fan, Yunong Xing

Author Affiliations +

Proceedings Volume 2303, Wavelet Applications in Signal and Image Processing II; (1994) https://doi.org/10.1117/12.188807
Event: SPIE's 1994 International Symposium on Optics, Imaging, and Instrumentation, 1994, San Diego, CA, United States

Abstract

Wavelet analysis is currently being investigated as an image enhancement tool for use in mammography. Although this approach to image processing appears to have great promise, there remain major uncertainties regarding an optimal form of wavelet based algorithms. It is, therefore, desirable to have a quantitative method for evaluating a wavelet based image processing algorithm. Optimization of algorithms prior to evaluation using standard Receiver Operating Characteristic method is made possible. A mathematical method has been developed where the input signal is a gaussian with added random noise. An enhancement factor (EF) is obtained from input and output signal-to-noise ratios, SNR_i and SNR_o, (EF equals SNR_o/SNR_i). The development and testing of this method is described, and a practical application in given showing the major features of a wavelet based image processing algorithm based on the Frazier-Jawerth transform.

Citation Download Citation

Zhenxue Jing, Yisheng Zheng, Walter Huda, Andrew F. Laine, Jian Fan, and Yunong Xing "Quantitative evaluation of wavelet-based image processing algorithms", Proc. SPIE 2303, Wavelet Applications in Signal and Image Processing II, (11 October 1994); https://doi.org/10.1117/12.188807

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