research-article

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

Authors:

Ayush GoyalAuthors Info & Claims

ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies

Article No.: 51, Pages 1 - 5

https://doi.org/10.1145/2905055.2905257

Published: 04 March 2016 Publication History

Abstract

The image blurring is a common artifact effecting the image quality in terms of details. In medical imaging such image details play a very crucial role e.g. CT and MRI[7] scan images. There are many deconvolution techniques available like Wiener[1], RC Lucy[3] and Blind [4] etc. which help in restoration of blurred[12] images. In this paper, we are having a hands on experience with these deblurring techniques on some CT and MRI images. We are comparing the MSE (Mean Square Error) calculated from the output images of different deblurring techniques.

References

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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

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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)

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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)

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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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Arunabha Debnath, Hari Mohan Rai, Chahat Yadav, Anjali Agarwal & Ankit Bhatia, Deblurring and Denoising of Magnetic Resonance Images using Blind Deconvolution Method, International Journal of Computer Applications (0975-8887) Volume 81 -- No. 10, November 2013

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Ingrid Sluimer, Arnold Schilham, Mathias Prokop, and Bram van Ginneken*, Member, IEEE, Computer Analysis of Computed Tomography Scansof the Lung: A Survey, IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 25, NO. 4, APRIL 2006 385

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1Darshana Mistry, 2Asim Banerjee, Deblurred of Image with Wiener Filter in MATLAB, Journal of Emerging Technologies and Innovative Research (JETIR), Volume 1 Issue 1 JETIR (ISSN-2349-5162)

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Digital Library

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S.S.Al-Amri, N.V. Kalyankar, Khamtikar S.D., "Deblured Gaussian Blurred Image", Journal Of Computing, Vol II, Issue IV, 2010, pp. 33--35.

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J. Wang, G. Wang, M. Jinag, "Blind deblurring of spiral CT images based on ENR and Wiener Filter", Journal of X-ray science and Technology, 2005, pp. 49--60.

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S.S.Al-Amri, "Restoration and Deblured Motion Blurred Images", International Journal of Multimedia, vol. 1, Issue I, 2011, pp. 3--6.

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S. S. Al-Amri, N.V. Kalyankar, "A comparative study for Deblured Average Blurred Image", International Journal of Computer Science and Engineering, Vol. 2 Issue 3, 2010, pp. 731--733.

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MATLAB8.0.0(R2012b) Help

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The image Deblurring problem; chapter 1, www.siam.org/books/fa03/FA03Chapter1.pdf, May 2012

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Cited By

Liu JHu SYang HSun N(2024)Image quilting heuristic compressed sensing video privacy protection coding for abnormal behavior detection in private scenesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104307(104307)Online publication date: Oct-2024
https://doi.org/10.1016/j.jvcir.2024.104307
Sharma PDubey AGoyal A(2023)Efficient computational technique of de-convolution and image blending for motion blurring problems in medical imagingInternational Journal of System Assurance Engineering and Management10.1007/s13198-023-01867-714:S1(394-403)Online publication date: 25-Jan-2023
https://doi.org/10.1007/s13198-023-01867-7
Amoon MAltameem TAltameem A(2020)Internet of things Sensor Assisted Security and Quality Analysis for Health Care Data Sets Using Artificial Intelligent Based Heuristic Health Management SystemMeasurement10.1016/j.measurement.2020.107861(107861)Online publication date: May-2020
https://doi.org/10.1016/j.measurement.2020.107861
Show More Cited By

An MSE (mean square error) based analysis of deconvolution techniques used for deblurring/restoration of MRI and CT Images
1. Computing methodologies
  1. Artificial intelligence
  2. Computer graphics

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ICTCS '16: Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies

March 2016

843 pages

ISBN:9781450339629

DOI:10.1145/2905055

Copyright © 2016 ACM.

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Published: 04 March 2016

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ICTCS '16

ICTCS '16: Second International Conference on Information and Communication Technology for Competitive Strategies

March 4 - 5, 2016

Udaipur, India

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Cited By

Liu JHu SYang HSun N(2024)Image quilting heuristic compressed sensing video privacy protection coding for abnormal behavior detection in private scenesJournal of Visual Communication and Image Representation10.1016/j.jvcir.2024.104307(104307)Online publication date: Oct-2024
https://doi.org/10.1016/j.jvcir.2024.104307
Sharma PDubey AGoyal A(2023)Efficient computational technique of de-convolution and image blending for motion blurring problems in medical imagingInternational Journal of System Assurance Engineering and Management10.1007/s13198-023-01867-714:S1(394-403)Online publication date: 25-Jan-2023
https://doi.org/10.1007/s13198-023-01867-7
Amoon MAltameem TAltameem A(2020)Internet of things Sensor Assisted Security and Quality Analysis for Health Care Data Sets Using Artificial Intelligent Based Heuristic Health Management SystemMeasurement10.1016/j.measurement.2020.107861(107861)Online publication date: May-2020
https://doi.org/10.1016/j.measurement.2020.107861
Bedekar HHossain GGoyal A(2020)Medical Analytics Based on Artificial Neural Networks Using Cognitive Internet of ThingsFog Data Analytics for IoT Applications10.1007/978-981-15-6044-6_10(199-262)Online publication date: 26-Aug-2020
https://doi.org/10.1007/978-981-15-6044-6_10
Goyal ATirumalasetty SBathla DArya MAgrawal RRanjan PHossain GChalloo RYang Y(2019)A Computational Segmentation Tool for Processing Patient Brain MRI Image Data to Automatically Extract Gray and White Matter RegionsEnergy Transfer and Dissipation in Plasma Turbulence10.1007/978-981-13-5953-8_1(1-16)Online publication date: 3-May-2019
https://doi.org/10.1007/978-981-13-5953-8_1
Sharma PDubey AGoyal A(2019)Efficient Image Deblurring Using Alpha Plane Blending on Images Recovered with Linearly Varied Point Spread Function (PSF)Ambient Communications and Computer Systems10.1007/978-981-13-5934-7_45(509-522)Online publication date: 31-Mar-2019
https://doi.org/10.1007/978-981-13-5934-7_45
Tirumalasetty SPatlolla VTirumalasetty RArya MAgrawal RHossain GJothi ADubey AChalloo RGoyal A(2018)Graphical Computational Tool for Segmentation of Gray and White Matter Regions in Brain MRI Images2018 International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET)10.1109/WiSPNET.2018.8538587(1-7)Online publication date: Mar-2018
https://doi.org/10.1109/WiSPNET.2018.8538587

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