Tahiatul Islam; Sheikh Md. Rabiul Islam; Xu Huang; Keng Liang Ou

Simultaneous Image Fusion and Denoising based on Multi-Scale Transform and Sparse Representation

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Author(s)

Tahiatul Islam ^1,* Sheikh Md. Rabiul Islam ¹ Xu Huang ² Keng Liang Ou ³

1. Dept. of Electronics and Communication Engineering Khulna University of Engineering &Technology, Bangladesh.

2. Faculty of ESTeM, University of Canberra, Australia

3. College of Oral Medicine, Taipei Medical, University, Taiwan.

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2017.06.05

Received: 27 Jan. 2017 / Revised: 16 Mar. 2017 / Accepted: 4 May 2017 / Published: 8 Jun. 2017

Index Terms

Image fusion, MST, SR, image de-noising, Shearlet

Abstract

Multi-scale transform (MST) and sparse representation (SR) techniques are used in an image representation model. Image fusion is used especially in medical, military and remote sensing areas for high resolution vision. In this paper an image fusion technique based on shearlet transformation and sparse representation is proposed to overcome the natural defects of both MST and SR based methods. The proposed method is also used in different transformations and SR for comparison purposes. This research also investigate denoising techniques with additive white Gaussian noise into source images and perform threshold for de-noised into the proposed method. The image quality assessments for the fused image are used for the performance of proposed method and compared with others.

Cite This Paper

Tahiatul Islam, Sheikh Md. Rabiul Islam, Xu Huang, Keng Liang Ou,"Simultaneous Image Fusion and Denoising based on Multi-Scale Transform and Sparse Representation", International Journal of Image, Graphics and Signal Processing(IJIGSP), Vol.9, No.6, pp.37-44, 2017. DOI: 10.5815/ijigsp.2017.06.05

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International Journal of Image, Graphics and Signal Processing (IJIGSP)