Method for Image Restoration using Wavelet based Image Fusion

With the increase demand of better image quality lot of image processing algorithms are designed. In this paper we described a method to remove the motion blur present in the image taken form any cameras. Motion blur is the result of the relative motion between the camera and the scene during image...

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Bibliographic Details
Published in:International journal of computer applications 2012-01, Vol.39 (13), p.18-23
Main Authors: Patel, Arun Kumar, Muchhal, Nitin, Yadav, R N
Format: Article
Language:English
Subjects:
Algorithms
Blinds
Cameras
Degradation
Image processing
Image restoration
Restoration
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Summary:With the increase demand of better image quality lot of image processing algorithms are designed. In this paper we described a method to remove the motion blur present in the image taken form any cameras. Motion blur is the result of the relative motion between the camera and the scene during image exposure time, this includes both camera and scene objects motion.. The aim of image restoration is to reconstruct or estimate an uncorrupted image by using the degraded version of the same image. [2] The most closely related research can be found in Blind de-convolution, and Wiener filter methods, They adopts regularized iteration to restore the degraded image. This work proposes the implementation of Wiener filter with Image fusion to reduce the computational complexity with better acceptable restoration results of image restoration method.. The performance of the every stage is tabulated for the parameters like SNR and RMSE of the restored images.
ISSN:0975-8887
0975-8887
DOI:10.5120/4881-7317