Affiliation:
1. AISECT University, India
Abstract
Image fusion based on different wavelet transform is the most commonly used image fusion method, which fuses the source pictures data in wavelet space as per some fusion rules. But, because of the uncertainties of the source images contributions to the fused image, to design a good fusion rule to incorporate however much data as could reasonably be expected into the fused picture turns into the most vital issue. On the other hand, adaptive fuzzy logic is the ideal approach to determine uncertain issues, yet it has not been utilized as a part of the outline of fusion rule. A new fusion technique based on wavelet transform and adaptive fuzzy logic is introduced in this chapter. After doing wavelet transform to source images, it computes the weight of each source images coefficients through adaptive fuzzy logic and then fuses the coefficients through weighted averaging with the processed weights to acquire a combined picture: Mutual Information, Peak Signal to Noise Ratio, and Mean Square Error as criterion.
Reference23 articles.
1. Medical Image Fusion Based on Wavelet Transform and Independent Component Analysis.;Z.Cui;International Joint Conference on Artificial Intelligence,2009
2. Hill, P., Canagarajah, N., & Bull, D. (2002). Image Fusion using Complex Wavelets. BMVC-2002.
3. Hill, P., Canagarajah, N., & Bull, D. (2005). Image Fusion Using A New Framework For Complex Wavelet Transform. IEEE.
4. Hinal, M. M., & Chavan, P. V. (2015). Fuzzy Logic Based Image Encryption For Confidential Data Transfer Using (2, 2) Secret Sharing Scheme. International Conference on Advances in Computer Engineering and Applications. ICACEA.