Assessment of Wavelet Base Based on Analytic Hierarchy Process in Remote Sensing Image De-noising

Abstract

In the image de-noising based on wavelet transform, the selection of wavelet base remarkably influences the result. In the paper, a new quantitative method using analytic hierarchy process (AHP) to assess wavelet base was introduced. Seven indexes were selected to assess the result of image de-noising; a relative importance judgement-matrix was built and weights of each indexes were quantitatively analyzed based on AHP; the basic frame to assess wavelet bases was built. Living examples show that the method proposed is subjective, convenient and practical which can select the optimal wavelet base intuitively and assess the selection of wavelet bases effectively. The method conquers the shortcomings of traditional methods that are determined depending on experiences and lack of subjective quantitative assessment, which is of practical significance.