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A New Approach to Image Denoising based on Wiener-LMMSE Scheme

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 45 - Number 22
Year of Publication: 2012
Authors:
Abhinandan Kalita
Md. Sajjad Hossain
Kandarpa Kumar Sarma
10.5120/7084-9778

Abhinandan Kalita, Md. Sajjad Hossain and Kandarpa Kumar Sarma. Article: A New Approach to Image Denoising based on Wiener-LMMSE Scheme. International Journal of Computer Applications 45(22):41-47, May 2012. Full text available. BibTeX

@article{key:article,
	author = {Abhinandan Kalita and Md. Sajjad Hossain and Kandarpa Kumar Sarma},
	title = {Article: A New Approach to Image Denoising based on Wiener-LMMSE Scheme},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {45},
	number = {22},
	pages = {41-47},
	month = {May},
	note = {Full text available}
}

Abstract

Several noise removal techniques have proven their worth in image processing applications. After an overview of some image denoising approaches, we introduce a LMMSE-based denoising technique with wavelet multiscale model and wiener filter in spatial domain. This proposed denoising technique stands out prominent in terms of SNR, MSE and PSNR compared to some more denoising techniques (also proposed in this paper). The Overcomplete Wavelet Expansion (OWE) which is also employed, provides better result compared to Orthogonal Wavelet Transform (OWT). Moreover, some fine details of the image such as edges, curves etc. is preserved using the LMMSE rule.

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