Blur Estimation and Identification of Degraded Images |
Author(s): |
MONIKA MARU , GEC, MODASA; MEHUL PARIKH, GEC MODASA; |
Keywords: |
Blur, Motion, Defocus, Degradation |
Abstract |
During the process of image acquisition, sometimes images are degraded by various reasons. Image restoration is a challenging task in the field of Image processing. The process of recovering such degraded or corrupted image is called Image Restoration. Restoration process improves the appearance of the image. The degraded image is the convolution of the original image, degraded function, and additive noise. Process of restoration is deconvolved this degraded image to obtain noiseless and deblurred original image. This paper proposed the easiest method for blur estimation and identification. Usual types of blur such as motion, defocus, Gaussian have been taken as Point Spread Function (PSF). |
Other Details |
Paper ID: NCACSETT4P089 Published in: Conference 10 : NCACSET 2017 Publication Date: 06/05/2017 Page(s): 34-38 |
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