Open Access Open Access  Restricted Access Subscription Access

A Novel Blind Restoration Technique Using Different Edge Detection Methods

Siddharth Saxena, Rajeev Kumar Singh

Abstract


Image restoration is a field of image processing in which we recover an original image from a degraded image. Objective of this paper is to compare different blurred and noisy images which are reconstructed with the help of blind deconvolution algorithm using different edge detection methods such as Canny, Sobel, Prewitt, Roberts, Laplacian. Initially original image is blurred using Gaussian filter. After that in the edges of blurred image ringing effect can be detected using different edge detection methods then it can be removed before restoration process. After that blind deconvolution algorithm is applied to get the reconstructed image. We used peak signal to noise ratio (PSNR) value for the comparison of different deblurred images. The higher the PSNR value, the better the image. Generally it is believed that blind deconvolution algorithm gives better result when there is no information about the distortion. It restores the image and point-speard function (PSF) at the same time.

Keywords: Blind deconvolution algorithm, edge detection methods, image restoration, PSF


Full Text:

PDF

References


Ramya S, Christian TM. Restoration of blurred images using Blind Deconvolution Algorithm. Proceeding of the International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT); 2011 Mar 23–24; Tamil Nadu, India. USA: IEEE; 2011. 496–99p.

Kundur D, Hatzinakos D. Blind Image Deconvolution. IEEE Signals processing magazine. 1996 May; 13(3):43–64p.

Rao DS, Deepthi KS, Deep KMS. Application of Blind Deconvolution Algorithm for Image Restoration.

International Journal of Engineering Science and Technology (IJEST). 2011; 3(3): 1878–84p.

Shao-Jie SUN, Qiong WU, Guo-hui L. Blind Image deconvolution for single motion-blurred image. Journal of China Universities of Posts and Telecommunications. 2009; 17(3): 104–9p.

Patil R, Kulkarni S. Blurred Image Restoration Using Canny Edge Detection and Blind Deconvolution Algorithm. International Journal of Computer Technology and Electronics Engineering (IJCTEE) National Conference on Emerging Trends in Computer Science & Information Technology (NCETCSIT-2011); 2011.

Patil P, Wagh RB. Implementation of Restoration of Blurred Image Using Blind Deconvolution Algorithm. Proceedings of the Tenth International Conference on Wireless and Optical Communications Networks (WOCN); 2013 July 26–28; Bhopal, India. USA: IEEE; 2013.1–5p.

Jayaraman S, Esakkirajan S, Veerakumar T. Digital Image Processing. New Delhi, India: Tata MacGraw-Hill Education Inc.; 2010.

Almeida MSC, Almeida LB. Blind and Semi-Blind Deblurring of Natural Images. IEEE Transa Image Processing. 2010; 19: 36–52p.

Cai JF, Ji H, Liu C, et al. Blind motion deblurring using multiple images. J Comput Phys. 2009; 228(14): 5057–71p.


Refbacks

  • There are currently no refbacks.


This site has been shifted to https://stmcomputers.stmjournals.com/