Image Fusion using Wavelet Transform
Shifali M Patil
Shifali M Patil, I- Trainee, RV-VLSI Design Centre, Bangalore (Karnataka), India.
Manuscript received on 15 April 2016 | Revised Manuscript received on 25 April 2016 | Manuscript Published on 30 April 2016 | PP: 66-69 | Volume-5 Issue-4, April 2016 | Retrieval Number: D4539045416/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Image fusion is the process of extracting meaningful visual information from two or more images and combining them to form one fused image. Image fusion is important within many different image processing fields from remote sensing to medical applications. Previously, real valued wavelet transforms have been used for image fusion. Although this technique has provided improvements over more naive methods, this transform suffers from the shift variance and lack of directionality associated with its wavelet bases. These problems have been overcome by the use of a reversible and discrete complex wavelet transform (the Dual Tree Complex Wavelet Transform DTCWT). However, the existing structure of this complex wavelet decomposition enforces a very strict choice of filters in order to achieve a necessary quarter shift in coefficient output. The proposed work introduces an alternative structure to the DTCWT that is more flexible in its potential choice of filters and can be implemented by the combination of four normally structured wavelet transforms. The use of these more common wavelet transforms enables this method to make use of existing optimized wavelet decomposition and recomposition methods, code and filter choice.
Keywords: Image Fusion, Wavelet Transform, Fused Mages, Wavelet Based Fusion, Multi-Resolution.
Scope of the Article: Image analysis and Processing