Optimization of Decomposition Techniques for Hybrid Wavelet based Image Fusion Algorithm using NSCT and DTCWT

Multifocus image fusion works based on concentrated areas of multiple images to extract features. Multi scale and multi dimensions are the part of multifocus image fusion. The proposed work is designed with 4 levels. First level concentrates on decomposition of image with non sub sampled contourlet transform. Next level decomposition is implemented by DTCWT. In further levels fusion is implemented with inverse of DTCWT, NSCT along with max fusion rules and weighted average. Various evaluation metrics are analyzed and compared to achieve the visual equality of proposed method.