Elsevier

Digital Signal Processing

Volume 21, Issue 1, January 2011, Pages 118-130
Digital Signal Processing

Edge preserved image enhancement using adaptive fusion of images denoised by wavelet and curvelet transform

https://doi.org/10.1016/j.dsp.2010.09.002Get rights and content

Abstract

In this paper, a novel approach is proposed which utilizes features of wavelet and curvelet transform, separately and adaptively, in ‘homogeneous’, ‘non-homogeneous’ and ‘neither homogeneous nor non-homogeneous’ regions, which are identified by variance approach. The edgy information that could not be retained by wavelet approach is extracted back from its residue by denoising it with curvelet transform. This extracted information is used as edge structure information (ESI) for fusing offshore regions of denoised images obtained by usage of wavelet and curvelet transform. The result of the image enhanced by such spatially adaptive fusion technique shows the improvement in the preservation of the edgy information. It also yields better smoothness in background (homogeneous region or non-edgy region) due to the removal of fuzzy edges developed during the denoising process by the curvelet transform.

Section snippets

Gopal G. Bhutada (born in 1968) received B.E. (Instrumentation Eng.) in 1990 and M.E. (Instrumentation Eng.) in 1997 from S.G.G.S. College of Engineering and Technology, Nanded, Maharashtra, India. Since 1999 he is Asst. Prof. at Govt. College of Engineering Jalgaon, Maharashtra, India. Currently, he is pursuing his Ph.D. program at Indian Institute of Technology, Roorkee. His research interest includes digital signal processing, image processing, bio-medical signal processing.

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  • Cited by (0)

    Gopal G. Bhutada (born in 1968) received B.E. (Instrumentation Eng.) in 1990 and M.E. (Instrumentation Eng.) in 1997 from S.G.G.S. College of Engineering and Technology, Nanded, Maharashtra, India. Since 1999 he is Asst. Prof. at Govt. College of Engineering Jalgaon, Maharashtra, India. Currently, he is pursuing his Ph.D. program at Indian Institute of Technology, Roorkee. His research interest includes digital signal processing, image processing, bio-medical signal processing.

    R.S. Anand received B.E., M.E. and Ph.D. in Electrical Eng. from University of Roorkee, India (Indian Institute of Technology, Roorkee) in 1985, 1987 and 1992, respectively. He has been a lecturer at IIT Kharagpur, India for about four years and currently he is a Professor at Indian Institute of Technology, Roorkee. He has published several papers in the area of image processing and signal processing. His research areas of interest are biomedical signals and image processing and ultrasonic application in non-destructive evaluation and medical diagnosis. He is a life member of Ultrasonic Society of India.

    S.C. Saxena (born in 1949) received B.E. in 1970 from Allahabad University (MNNIT), and M.E. (1973) and Ph.D. in Biomedical Eng. from University of Roorkee. He has worked as Asst. Prof. in Military Technical College, Baghdad, Iraq for three years and as Professor at Indian Institute of Technology, Roorkee from 1988 to 2002. He has been the Director of Thapar Institute of Engineering and Technology, Patiala from 2002 to 2006. Currently he is Director, Indian Institute of Technology, Roorkee, India. He received 13 honors/awards, published more than 200 research papers, supervised 20 PhDs and 75 PGs, organized 28 conferences and completed 12 sponsored projects. He also made two educational films.

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    Research Scholar.

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    Professor.

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    Professor and Director.

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