A Closer Overview on Blur Detection-A Review

The image blurring is caused by motion and out of focus parameters and type of blur can be classified as global blur and local blur.in this paper the most challenging spatially varying blured detection schemes are proposed..In this the blur detection techniques for digital images are used in order to determine the blur detection several classifiers are used.In this paper we reviewed SVM & DCT based different blur detections.

[1]  Steven W. Zucker,et al.  Local Scale Control for Edge Detection and Blur Estimation , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Florin Popentiu,et al.  Iterative identification and restoration of images , 1993, Comput. Graph..

[3]  Wei Zhang,et al.  Multi-Scale Blur Estimation and Edge Type Classification for Scene Analysis , 1997, International Journal of Computer Vision.

[4]  Aggelos K. Katsaggelos,et al.  Iterative identification and restoration of images , 1990, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

[5]  Jerry D. Gibson,et al.  Handbook of Image and Video Processing , 2000 .

[6]  K. Siddaraju,et al.  DIGITAL IMAGE RESTORATION , 2011 .