Implementation of generalized cross validation based image denoising in parallel virtual machine environment

作     者：Tiwari, AK Shukla, KK 

作者机构：Banaras Hindu Univ Inst Technol Dept Elect Engn Varanasi 221005 Uttar Pradesh India Banaras Hindu Univ Inst Technol Dept Comp Engn Varanasi 221005 Uttar Pradesh India 

出 版 物：《DIGITAL SIGNAL PROCESSING》 (数字信号处理评论杂志)

年 卷 期：2004年第14卷第2期

页      面：138-157页

核心收录：

学科分类：0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：parallel algorithms DWT PVM GCV thresholding 

摘      要：Paper presents a wavelet based, high performance image denoising scheme implemented in a parallel virtual machine (PVM) environment. Performance of generalized cross validation (GCV) based threshold selection scheme is poorer from CPU time viewpoint when implemented sequentially. In contrast to the traditional parallel approaches, which rely on specialized parallel machines, the present work explores the potential of distributed systems for parallelism. The master/slave model is adopted for control of machines. In this paper the performance of GCV based thresholding algorithm is presented in PVM environment. The proposed algorithm outperforms Donoho and Johnstone s Universal and SureSrink thresholding scheme in most of the test cases. The present investigation validates suitability of GCV thresholding scheme from parallel implementation viewpoint. (C) 2003 Elsevier Inc. All rights reserved.