Image fusion of multidirectional wavelet transforms for image denoising

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Archival Material/Manuscript

Publication Date

2014

Abstract

Image denoising in the wavelet domain has been attractive to researchers in the past decade due to its suitable properties which lead to a smooth denoised image. However, limitations in edge representation have been found particularly with diagonal edges which may be destroyed in the denoising process. Direction-sensitive variants of the transform have been proposed by various researchers but they are often computationally expensive and difficult to implement in an actual system. This work presents a direction-sensitive technique of denoising based on a reversible rotation process combined with a simple discrete wavelet transform and image fusion methods. Test results on the said methods show significant gains over the traditional wavelet denoising process. Additionally, the simple and non-adaptive nature of the process makes it attractive for software and hardware implementation.

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Disciplines

Engineering

Note

Publication date supplied.

Keywords

Wavelets; Image systems

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