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Blind Image Deconvolution, Lucy-Richardson technique, Point Spread Function, edge taper, ringing effect, dilation, edge content
X-rays and other medical images are distorted because of the limitations of the Imaging system. The other source from where the distortions get in are the transmission channels. The distortions are generally noise and blur. Unless and until the medical images are free of noise and blur they cannot be used by medical professionals to the full extent for diagnosis purpose. Therefore these images must be restored properly before they are used for diagnosis purpose. There are different restoration techniques out of which one is Blind Image Deconvolution. X-ray images restored with this technique have ringing effect in them. Using edgetaper (matlab function) prior to Blind Image Deconvolution reduces the ringing effect to an extent. This paper presents Blind Deconvolution algorithm with weights which gives lesser ringing effect in X-ray images when they are restored.
Suneet Gupta, Rabins Porwal,"Implementing Blind De-convolution with Weights on X-ray Images for Lesser Ringing Effect", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.8, No.8, pp.30-36, 2016. DOI: 10.5815/ijigsp.2016.08.05
R. Gonzalez, R. Woods, Digital Image Processing, Third Edition, Pearson Education Inc., 2008.
Jayaraman, Esakkirajan, Veerakumar, "Digital Image Processing", Tata McGraw-Hill Education, 2011
Dhirendra Pal Singh and Ashish Khare, " Restoration of Degraded Gray Images Using Genetic Algorithm", I.J. Image, Graphics and Signal Processing, 2016, 3, 28-35 Published Online March 2016 in MECS (http://www.mecs-press.org/) DOI: 10.5815/ijigsp.2016.03.04
S. Sridhar, "Digital Image Processing", Oxford University Press, 2011.
Zohair Al-Ameen Ghazali Sulong and Md. Gapar Md. Johar," A Comprehensive Study on Fast image Deblurring Techniques", International Journal of Advanced Science and Technology Vol. 44, July, 2012
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. 269_276 (2013) DOI: 10.6180/jase.2013.16.3.06
C. Helstrom, "Image Restoration by the Method of Least Squares", J. Opt. Soc. Amer., 57(3): 297-303, March 1967.
R. L. Lagendijk, J. Biemond, and D. E. Boekee, "Blur identification using the expectation-maximization algorithm," in Proc. IEEE. Int. Conf. Acoustics, Speech, Signal Process. vol. 37, Dec. 1989, pp. 1397-1400.
K. Faulkner, C. J. Kotre, and M. Louka, "Veiling glare deconvolution of images produced by X-ray image intensifiers", Third Int. Conf. on Image Proc. and Its Applications, pp. 669–673, 1989.
Rinku Kalotra and Sh. Anil Sagar ,"A Novel Algorithm for Blurred Image Restoration in the field of Medical Imaging", International Journal for Science and Emerging Technologies with Latest Trends, 17(1): 21- 26(2014)ISSN No. (Print): 2277-8136, ISSN No.(Online):2250-3641
G. R. Ayers and J. C. Dainty, "Iterative blind deconvolution method and its applications," Optics Letters, vol. 13, no. 7, pp. 547–549, 1988.
D. Kundur and D. Hatzinakos, "Blind image deconvolution," IEEE Sig-nal Processing Magazine, vol. 13, no. 3, pp. 43–64, 1996.
R. Gonzalez, R. Woods, S. Eddins, "Digital Image Processing Using MATLAB", Second Edition, 2010.
Amina Saleem, Azeddine Beghdadi and Boualem Boashash, "Image fusion-based contrast enhancement", in EURASIP Journal on Image and Video Processing 2012, 2012:10 , Springer Open Journal.