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

被引：2

作者：

Tiwari, AK ^{[1
]}

Shukla, KK

机构：

[1] Banaras Hindu Univ, Inst Technol, Dept Elect Engn, Varanasi 221005, Uttar Pradesh, India

[2] Banaras Hindu Univ, Inst Technol, Dept Comp Engn, Varanasi 221005, Uttar Pradesh, India

来源：

DIGITAL SIGNAL PROCESSING | 2004年 / 14卷 / 02期

关键词：

parallel algorithms; DWT; PVM; GCV; thresholding;

D O I：

10.1016/j.dsp.2003.05.001

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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.

引用

页码：138 / 157

页数：20

共 50 条

[1] Wavelet shrinkage and generalized cross validation for image denoising
Weyrich, N
Warhola, GT
IEEE TRANSACTIONS ON IMAGE PROCESSING, 1998, 7 (01) : 82 - 90
[2] Image denoising based on the ridgelet frame using the Generalized Cross Validation technique
Tan, Xi
He, Hong
IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS, 2007, 4633 : 38 - 45
[3] Image denoising based on iterative generalized cross-validation and fast translation invariant
Zhang, Libao
Chen, Jie
Zhu, Tong
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, 2015, 28 : 1 - 14
[4] Parallel implementation for image rotation using Parallel Virtual Machine (PVM)
Hinks, J
Amin, SA
CANADIAN CONFERENCE ON ELECTRICAL AND COMPUTER ENGINEERING 2001, VOLS I AND II, CONFERENCE PROCEEDINGS, 2001, : 1297 - 1301
[5] Still image denoising based on integer wavelet transform and fast recurrent generalized cross validation
Zhu, Tong
Zhang, Li-Bao
Yu, Xian-Chuan
Guangdianzi Jiguang/Journal of Optoelectronics Laser, 2009, 20 (06): : 830 - 834
[6] Parallel implementation of a unified approach to image focus and defocus analysis on the parallel virtual machine
Liu, YF
Lo, NW
Subbarao, M
Carlson, BS
VISUAL INFORMATION PROCESSING VII, 1998, 3387 : 100 - 111
[7] HYPERSPECTRAL IMAGE DENOISING BASED ON PARALLEL CROSS-FUSION NETWORK
Gong, Zhuoran
Gao, Feng
Dong, Junyu
Qi, Lin
2022 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2022), 2022, : 1528 - 1531
[8] A wavelet-based coarse-to-fine image matching scheme in a parallel virtual machine environment
You, J
Bhattacharya, P
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2000, 9 (09) : 1547 - 1559
[9] Design and Implementation of Parallel Virtual Machine on GM
TANG Zhibo LI GuoPing XU Weimin School of Computer Science and Engineering Shanghai University Shanghai China
Journal of Shanghai University, 2000, (S1) : 90 - 93
[10] Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function
Kollem, Sreedhar
Reddy, Katta Ramalinga
Rao, Duggirala Srinivasa
Prasad, Chintha Rajendra
Malathy, V
Ajayan, J.
Muchahary, Deboraj
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2022, 32 (04) : 1263 - 1285

← 1 2 3 4 5 →