Journal of Engineering and Applied Sciences

Year: 2016
Volume: 11
Issue: 3
Page No. 561 - 569

A Survey on Various Image Deblurring Methods

Authors : Sabah Fadhel Hamood, Mohd Shafry Mohd Rahim, Omar Farook and Daud Kasmuni

References

Al-Ameen, Z., G. Sulong and G.M. Johar, 2012. Utilizing a laplacian-richardson lucy procedure for deblurring CT medical images degraded by Gaussian blur. Proceedings of the 5th Conference and Exhibition on Computer Communication, (CECC'12), New York, USA -.

Al-Ameen, Z., G. Sulong and M.G.M. Johar, 2012. A comprehensive study on fast image deblurring techniques. Int. J. Adv. Sci. Technol., 44: 1-10.
Direct Link  |  

Al-Amri, S.S. and A.S. Ali, 2011. Restoration and deblured motion blurred images. Int. J. Comput. Sci. Issues, 11: 168-172.
Direct Link  |  

Almeida, G.L., M.I. Silvani, E.S. Souza and R.T. Lopes, 2015. A stopping criterion to halt iterations at the Richardson-Lucy deconvolution of radiographic images. J. Phys.: Conf. Ser., Vol. 630. 10.1088/1742-6596/630/1/012003/meta

Beck, A. and M. Teboulle, 2009. A fast iterative shrinkage-thresholding algorithm with application to wavelet-based image deblurring. Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, April 19-24, 2009, Taipei, pp: 693-696.

Bhosale, N., R. Manza, K.V. Kale, 2014. Analysis of effect of gaussian, salt and pepper noise removal from noisy remote sensing images. Proceedings of the 2nd International Conference on Emerging Research in Computing, Information, Communication and Applications, August 1-2, 2014, Bangalore -.

Biemond, J., R.L. Lagendijk and R.M. Mersereau, 1990. Iterative methods for image deblurring. Proceedings of the IEEE, 78: 856-883.
CrossRef  |  

Bojarczak, P. and Z. Lukasik, 2007. Image deblurring-wiener filter versus TSVD approach. Adv. Electr. Electron. Eng., 6: 86-89.
Direct Link  |  

Carasso, A.S., 1999. Linear and nonlinear image deblurring: A documented study. SIAM J. Numer. Anal., 36: 1659-1689.
CrossRef  |  Direct Link  |  

Carrato, S., G. Ramponi, S. Marsi, M. Jerian and L. Tenze, 2015. FPGA implementation of the Lucy-Richardson algorithm for fast space-variant image deconvolution. Proceedings of the 2015 9th International Symposium on Image and Signal Processing and Analysis (ISPA), September 7-9, 2015, Zagreb, pp: 137-142.

Chang, W.D., J.J. Ding, Y. Chen, C.W. Chang and C.C. Chang, 2012. Image deblurring with pyramid-based richardson-lucy algorithm. Proceeding of the Indian Conference on Computer Vision, Graphics and Image Processing, December 16-19, 2012, Mumbai, India -.

Chu, Y., S. Li and M. Wang, 2012. A modified richardson-lucy method for space-variant motion deblurring. Proceedings of the 2012 International Conference on Computer Science and Service System, August 11-13, 2012, Nanjing, pp: 1884-1887.

Dai, X., 2016. Non-parametric efficiency estimation using richardson-lucy blind deconvolution. Eur. J. Opera. Res., 248: 731-739.
CrossRef  |  Direct Link  |  

Ding, J.J., W.D. Chang, Y. Chen, S.W. Fu, C.W. Chang and C.C. Chang, 2014. Image deblurring using a pyramid-based richardson-lucy algorithm. Proceedings of the 2014 19th International Conference on Digital Signal Processing, August 20-23, 2014, Hong Kong, pp: 204-209.

Dwivedi, A. and A. Singh, 2013. An advanced filter for image enhancement and restoration. J. Open J. Adv. Eng. Tech. OJAET, 1: 7-10.

Gupta, A. and R. Kumar, 2013. Design and analysis of an algorithm for image deblurring using bilateral filter. Int. J. Sci. Emerg. Technol. Latest Trends, 5: 28-34.
Direct Link  |  

Hamid, A.A.A., M.S.M. Rahim, A.S. Al-Mazyad and T. Saba, 2015. Analysis of proposed noise detection and removal technique in degraded fingerprint images. 3D Res., Vol. 6. 10.1007/s13319-015-0067-2

Hamid, A.A.A., R. Kumoi, M.S.M. Rahim and N.Z. Syazrah, 2015. Fingerprint image enhancement using median sigmoid filter. Jurnal Teknologi, 75: 1-6.
Direct Link  |  

Hansen, P.C., J.G. Nagy and D.P. O'leary, 2006. Deblurring Images: Matrices, Spectra and Filtering. SIAM, Thailand, ISBN: 9780898718874, Pages: 130.

Herring, J.L., 2010. The effects of projection on iterative methods in image deblurring. Ph.D. Thesis, Emory University, Georgia.

Jia, J., 2007. Single image motion deblurring using transparency. Proceedings of the 2007 IEEE Conference on Computer Vision and Pattern Recognition, June 17-22, 2007, Minneapolis, MN., pp: 1-8.

Joshi, N., C.L. Zitnick, R. Szeliski and D.J. Kriegman, 2009. Image deblurring and denoising using color priors. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, June 20-25, 2009, Miami, FL., pp: 1550-1557.

Jubien, C.M. and M.E. Jernigan, 1991. A neural network for deblurring an image. Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing, May 9-10, 1991, Victoria, BC., pp: 457-460.

Khan, M.K., S. Morigi, L. Reichel and F. Sgallari, 2013. Iterative methods of Richardson-Lucy-type for image deblurring. Numer. Math.: Theory Methods Applic., 6: 262-275.
Direct Link  |  

Khare, C. and K.K. Nagwanshi, 2011. Implementation and analysis of image restoration techniques. Int. J. Comput. Trends Technol.

Kumar, N., M. Shrivastava and N. Rahim, 2012. Image deblurring using a neural network approach. Int. J. Eng. Innov. Technol., 2: 155-158.
Direct Link  |  

Kumar, N., R. Nallamothu and A. Sethi, 2012. Neural network based image deblurring. Proceedings of the 2012 11th Symposium on Neural Neural Network Applications in Electrical Engineering, September 20-22, 2012, Belgrade, pp: 219-222.

Kumar, S., P. Kumar, M. Gupta and A.K. Nagawat, 2010. Performance comparison of median and wiener filter in image de-noising. Int. J. Comput. Applic., 12: 27-31.
Direct Link  |  

Kundur, D. and D. Hatzinakos, 1998. A novel blind deconvolution scheme for image restoration using recursive filtering. IEEE Trans. Signal Process., 46: 375-390.
CrossRef  |  

Levin, A., Y. Weiss, F. Durand and W.T. Freeman, 2011. Understanding blind deconvolution algorithms. Pattern Anal. Mach. Intell. IEEE. Trans., 33: 2354-2367.
CrossRef  |  Direct Link  |  

Liu, H., Z. Zhang, S. Liu, T. Liu, L. Yan and T. Zhang, 2015. Richardson-lucy blind deconvolution of spectroscopic data with wavelet regularization. Applied Opt., 54: 1770-1775.
CrossRef  |  

Liu, X., Z. Yuan, Z. Guo and D. Xu, 2015. A localized richardson-lucy algorithm for fiber orientation estimation in high angular resolution diffusion imaging. Med. Phys., 42: 2524-2539.
CrossRef  |  

Mohamed, K.M. and R.C. Hardie, 2015. A collaborative adaptive wiener filter for image restoration using a spatial-domain multi-patch correlation model. EURASIP J. Adv. Signal Process. 10.1186/s13634-014-0189-3

Nagy, J.G., K. Palmer and L. Perrone, 2004. Iterative methods for image deblurring: A matlab object-oriented approach. Numer. Algorithms, 36: 73-93.
CrossRef  |  Direct Link  |  

Nourildean, S.W. and M.I. Khalil, 2014. Image deblurring and effect of wiener, regularized, lucky-richardson, blind-deconvolution, average and median filters on blurred image and noisy image. Tikrit J. Eng. Sci., 21: 84-95.
Direct Link  |  

Patel, N.B. and K.N. Jariwala, 2014. A survey on image enhancement using image super-resolution and deblurring methods. J. Emerging Technol. Innov. Res., 1: 359-370.
Direct Link  |  

Perrone, D. and P. Favaro, 2014. Total variation blind deconvolution: The devil is in the details. Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, June 23-28, 2014, Columbus, OH., pp: 2909-2916.

Perrone, D., R. Diethelm, P. Favaro, 2015. Blind Deconvolution via Lower-Bounded Logarithmic Image Priors. In: Energy Minimization Methods in Computer Vision and Pattern Recognition, Tai, X.C., E. Bae, T.F. Chan and M. Lysaker (Eds.). Springer, New York, USA., pp: 112-125.

Poulose, M., 2013. Literature survey on image deblurring techniques. Int. J. Comput. Applic. Technol. Res., 2: 286-288.
CrossRef  |  Direct Link  |  

Prasad, S., 2002. Statistical-information-based performance criteria for richardson-lucy image deblurring. J. Opt. Soc. Am. A, 19: 1286-1296.
CrossRef  |  

Prato, M., A. la Camera, S. Bonettini, S. Rebegoldi, M. Bertero and P. Boccacci, 2015. A blind deconvolution method for ground based telescopes and Fizeau interferometers. New Astron., 40: 1-13.
CrossRef  |  Direct Link  |  

Remmele, S. and J. Hesser, 2009. Vector Extrapolation-Based Acceleration of Regularized Richardson Lucy Image Deblurring. In: Bildverarbeitung Fur Die Medizin, Meinzer, H.P., T.M. Deserno, H. Handels and T. Tolxdorff (Eds.). Springer, New York, USA., pp: 400-404.

Ruzinoor, C.M., A.R.M. Shariff, A.R. Mahmud, B. Pradhan and M.S.M. Rahim, 2013. An effective visualization and comparison of online terrain draped with multi-sensor satellite images. Arabian J. Geosci., 6: 4881-4889.
CrossRef  |  Direct Link  |  

Saadi, S., A. Guessoum and M. Bettayeb, 2013. ABC optimized neural network model for image deblurring with its FPGA implementation. Microprocessors Microsyst., 37: 52-64.
CrossRef  |  Direct Link  |  

Sankhe, P.D., M. Patil and M. Margaret, 2011. Deblurring of grayscale images using inverse and Wiener filter. Proceedings of the International Conference and Workshop on Emerging Trends in Technology, February 25-26, 2011, ACM, Mumbai, Maharashtra, India, ISBN: 978-1-4503-0449-8, pp: 145-148.

She, H., R.R. Chen, D. Liang, Y. Chang and L. Ying, 2015. Image reconstruction from phased-array data based on multichannel blind deconvolution. Magn. Resonance Imaging, 33: 1106-1113.
CrossRef  |  Direct Link  |  

Singh, D. and M.R. Sahu, 2013. A survey on various image deblurring techniques. Int. J. Adv. Res. Comput. Commun. Eng., 2: 4736-4739.
Direct Link  |  

Singh, M.K., U.S. Tiwary and Y.H. Kim, 2008. An adaptively accelerated lucy-richardson method for image deblurring. EURASIP J. Adv. Signal Process. 10.1155/2008/365021

Singh, P. and L. Jain, 2013. Noise reduction in ultrasound images using wavelet and spatial filtering techniques. Proceedings of the 2013 2nd International Conference on Information Management in the Knowledge Economy, December 19-20, 2013, Chandigarh, pp: 57-63.

Soe, A.K. and X. Zhang, 2012. A simple PSF parameters estimation method for the de-blurring of linear motion blurred images using wiener filter in OpenCV. Proceedings of the 2012 International Conference on Systems and Informatics, May 19-20, 2012, Yantai, pp: 1855-1860.

Strohl, F. and C.F. Kaminski, 2015. A joint richardson-lucy deconvolution algorithm for the reconstruction of multifocal structured illumination microscopy data. Methods Applic. Fluorescence, Vol. 3. 10.1088/2050-6120/3/1/014002/meta

Su, L., X. Shao, L. Wang, H. Wang and Y. Huang, 2015. Richardson-Lucy deblurring for the star scene under a thinning motion path. Proceedings of the Satellite Data Compression, Communications and Processing, April 20, 2015, Maryland, US -.

Subashini, P., M. Krishnaveni and V. Singh, 2011. Image deblurring using back propagation neural network. World Comput. Sci. Inf. Technol. J., 1: 277-282.

Tai, Y.W., P. Tan and M.S. Brown, 2011. Richardson-lucy deblurring for scenes under a projective motion path. IEEE Trans. Pattern Anal. Mach. Intell., 33: 1603-1618.
CrossRef  |  

Torres, L.P., 2008. Deblurring affymetrix GeneChip images by applying the lucy-richardson algorithm. Ph.D. Thesis, University of Essex.

Umale, S.H. and A.M. Sahu, 2014. A review on various techniques for image debluring. Int. J. Comput. Sci. Mobile Comput., 3: 263-268.

Wang, J., G. Wang and M. Jiang, 2005. Blind deblurring of spiral CT images based on ENR and wiener filter. J. X-Ray Sci. Technol., 13: 49-60.
Direct Link  |  

Wang, R. and D. Tao, 2014. Recent progress in image deblurring. arXiv preprint arXiv:1409.6838, September 2014. http://arxiv.org/abs/1409.6838.

Wu, J.L., C.F. Chang and C.S. Chen, 2012. An improved Richardson-Lucy algorithm for single image deblurring using local extrema filtering. Proceedings of the 2012 International Symposium on Intelligent Signal Processing and Communications Systems, November 4-7, 2012, New Taipei, pp: 27-32.

Wu, J.L., C.F. Chang and C.S. Chen, 2013. An adaptive richardson-lucy algorithm for single image deblurring using local extrema filtering. J. Applied Sci. Eng., 16: 269-276.
CrossRef  |  Direct Link  |  

Xiao, J., X. Zhuang, Z. Zhang, F. Zhang and W. Xu, 2015. Satellite images recovery based on wiener filter. Proceedings of the 2015 International Conference on Advances in Mechanical Engineering and Industrial Informatics, April 11-12, 2015, The Netherlands -.

Yamauchi, H. and W. Somha, 2015. Feedback gain phase alignment effects on convergence characteristics in Lucy-Richardson deconvolution for inversely predicting complex-shaped RTN distributions Proceedings of the 2015 IEEE 58th International Midwest Symposium on Circuits and Systems, August 2-5, 2015, Fort Collins, CO., pp: 1-4.

Yamauchi, H. and W. Somha, 2015. Ringing error prevention techniques in Lucy-Richardson deconvolution process for SRAM space-time margin variation effect screening designs. Proceedings of the 16th Latin-American Test Symposium (LATS), March 25-27, 2015, Puerto Vallarta, pp: 1-6.

Yang, A.P., Z.X. Hou and C.Y. Wang, 2007. Image deblurring based on wavelet and neural network. Proceedings of the 2007 International Conference on Wavelet Analysis and Pattern Recognition, November 2-4, 2007, Beijing, China, pp: 647-651.

Yang, H., Z.B. Zhang, D.Y. Wu and H.Y. Huang, 2014. Image deblurring using empirical Wiener filter in the curvelet domain and joint non-local means filter in the spatial domain. Imaging Sci. J., 62: 178-185.
CrossRef  |  Direct Link  |  

Yang, H.L., P.H. Huang and S.H. Lai, 2014. A novel gradient attenuation richardson-lrucy algorithm for image motion deblurring. Signal Process., 103: 399-414.
CrossRef  |  Direct Link  |  

Yang, H.L., Y.H. Chiao, P.H. Huang and S.H. Lai, 2012. Blind Image Deblurring with Modified Richardson-Lucy Deconvolution for Ringing Artifact Suppression. In: Advances in Image and Video Technology, Ho, Y.S. (Ed.). Springer, New York, USA., pp: 240-251.

Zelenka, C. and R. Koch, 2015. Blind deconvolution on underwater images for gas bubble measurement. Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., 1: 239-244.
Direct Link  |  

Zhang, H., Q. Peng and Y. Wu, 2006. Variational image deblurring using modified hopfield neural network. Proceedings of the International Conference on Communications, Circuits and Systems, June 25-28, 2006, China -.

Zheng, Y., 1989. A Fast Image Deblurring Algorithm using the Wiener Filter and the Hartley Transform. In: Review of Progress in Quantitative Nondestructive Evaluation: Volume 8, Part A and B, Thompson, D.O. and D.E. Chimenti (Eds.). Springer, New York, USA., pp: 735-742.

Zhou, H., G. Xia, Q. Liu and F. Yu, 2015. A robust multi-frame image blind deconvolution algorithm via total variation. Proceedings of the SPIE Image Processing and Analysis, May 5, 2015, Beijing, China -.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved