Fuzzy image restoration using modulation transfer function

作     者：袁媛 Yi Yaohua Liu Juhua 

作者机构：School of Printing and PackagingWuhan University 

出 版 物：《High Technology Letters》 (高技术通讯（英文版）)

年 卷 期：2016年第22卷第4期

页      面：461-469页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the National High Technology Research and Development Programme of China(No.2012AA12A305) the National Key Technology R&D Program of the Ministry of Science and Technology(No.2013BAH03B01) Fundamental Research Funds for the Central Universities of China(No.2042015kf0059) China Postdoctoral Science Foundation(No.2015M582277) 

主　　题：fuzzy image modulation transfer function(MTF) slanted-edge method automatic computation MTF restoration model 

摘      要：The key difficulty of restoring a fuzzy image is to estimate its point spread function( PSF). In the paper,PSF is modelled based on modulation transfer function( MTF). The first step is calculating the image MTF. In the traditional slanted-edge method,a sub-block is always manually extracted from original image and its MTF will be viewed as the result of the whole image. However,handcraft extraction is inefficient and will lead to inaccurate results. Given this,an automatic MTF computation algorithm is proposed,which extracts and screens out all the effective sub-blocks and calculates their average MTF as the final result. Then,a two-dimensional MTF restoration model is constructed by multiplying the horizontal and vertical MTF,and it is combined with conventional image restoration methods to restore fuzzy image. Experimental results indicate the proposed method implementes a fast and accurate MTF computation and the MTF model improves the performance of conventional restoration methods significantly.