Image fusion of multidirectional wavelet transforms for image denoising

Authors

Carlo Noel E. Ochotorena, De La Salle University, Manila
Cecille Adrianne Ochoterena
Edwin Sybingco, De La Salle University, Manila

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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Recommended Citation

Ochotorena, C. E., Ochoterena, C., & Sybingco, E. (2014). Image fusion of multidirectional wavelet transforms for image denoising. Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/10822

Disciplines

Engineering

Note

Publication date supplied.

Keywords

Wavelets; Image systems

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