An MSE (mean square error) based analysis of deconvolution techniques used for deblurring/restoration of MRI and CT Images

Author:

Sharma Poonam1,Sharma Saloni2,Goyal Ayush1

Affiliation:

1. Deptt of ECE, Amity School of Engineering and Technology, Noida, India

2. Department of Physics, Hansraj Mahila Mahavidyalay, DAV, Jalandhar, India

Publisher

ACM Press

Reference18 articles.

1. Wei Li1, Jean Meunier, and Jean-Paul Soucy, A 3D Adaptive Wiener Filter for Restoration ofSPECT Images Using MRI as Reference Images, Proceedings of the 2005 IEEE, Engineering in Medicine and Biology 27th Annual Conference, Shanghai, China, September 1-4, 2005

2. Huajun She, Rong-Rong Chen1, Dong Liang, Yuchou Chang, Leslie Ying, IMAGE RECONSTRUCTION FROM PHASED-ARRAY MRI DATA. BASED ON MULTICHANNEL BLIND DECONVOLUTION, 978-1-4244-4126-6/10/$25.00 ©2010 IEEE

3. Jiunn-Lin Wu*, Chia-Feng Chang and Chun-Shih Chen, An Adaptive Richardson-Lucy Algorithm for Single Image Deblurring Using Local Extrema Filtering, Journal of Applied Science and Engineering, Vol. 16, No. 3, pp. 269276 (2013)

4. Ir. A. S. Mane* Prof. Mrs. M. M. Pawar, Removing Blurring From Degraded Image Using Blind Deconvolution with Canny Edge Detection Technique, International Journal of Innovative Research in Advanced Engineering (IJIRAE) ISSN: 2349--2163, Volume 1 Issue 11 (November 2014)

5. Quang Thi Nguyen1, Yong Gang Cao1,2, Guang Wen Liu1,Nghia Pham Minh3 and Van Nhu Le3, A Novel Approach for Shaken Image Deblurring, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 7, No. 2 (2014), pp. 85--98

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