Abstract
Image fusion based on wavelet transform is the most commonly used image fusion method, which fuses the source images’ information in wavelet domain according to some fusion rules. But because of the uncertainties of the source images’ contributions to the fused image, how to design a good fusion rule to integrate as much information as possible into the fused image becomes the most important problem. This study proposed a image fusion algorithm based on wavelet transform and fuzzy reasoning. The edges in source images are detected using set of fuzzy rules. The hardware architecture for fuzzy based image fusion is proposed. This proposed hardware architecture reduces the hardware utilizations and best suitable for low power applications. The design possesses only two line memory buffers with very low computational complexity, thereby reducing the hardware cost and appropriate for several real-time applications. The proposed hardware architecture consumes 4179 gates and power consumption of 203.27 mW.
Highlights
Image is more suitable for visual perception
This study proposed a image fusion algorithm based on wavelet transform and fuzzy reasoning
In this study we propose a novel region based image fusion algorithm for multifocus and multimodal images which overcomes the limitations of more information than individual image and synthesized different approaches
Summary
Image is more suitable for visual perception. We use the term image fusion to denote a process by which multiple. Image fusion is a tool to combine multimodal images by using image processing techniques It aims at the integration of disparate and complementary data in order to enhance the information apparent in the images, as well as to increase the reliability of the interpretation. This leads to more accurate data and increased utility. As far as the knowledge of the author, none of the image in the source images as well as to increase the reliability of the interpretation This process leads to more accurate data interpretation and utility.
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