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Wavelet Transform based Fusion Technique for Image Restoration

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Kalpana Wagadre, Madhu Singh

Kalpana Wagadre and Madhu Singh. Wavelet Transform based Fusion Technique for Image Restoration. International Journal of Computer Applications 153(12):18-20, November 2016. BibTeX

	author = {Kalpana Wagadre and Madhu Singh},
	title = {Wavelet Transform based Fusion Technique for Image Restoration},
	journal = {International Journal of Computer Applications},
	issue_date = {November 2016},
	volume = {153},
	number = {12},
	month = {Nov},
	year = {2016},
	issn = {0975-8887},
	pages = {18-20},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2016912208},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


there is lots of image processing algorithms to improve image quality .Image restoration is a field of image processing which deals with restoring an image that has been degraded by some degradation phenomenon. Degradation may occur due to motion blur, Gaussian blur, noise or camera mismatch. The aim of image restoration is to reconstruct or estimate an uncorrupted image by using the degraded version of the same image. [2] In this paper we described a method to remove the motion blur present in the image taken from any cameras by which motion blurred and noisy image is first restored using Wiener and Lucy Richardson method then applied wavelet based fusion Technique is applied for restoration. The performance of the every stage is tabulated for the parameters like SNR and RMSE of the restored images. It is observed that image fusion technique provides better results as compared to previous techniques. Performance of all the methods has been compared on the basis of performance parameters MSE and PSNR.


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Image restoration, Image fusion, Wavelet, MSE, PSNR, Wiener, Lucy Richardson