Hybrid Image Fusion implemented in DTCWT

Abstract

Acquiring a perfect perception and clarity in image resolution by applying prevailing fusion techniques is one of the challenging and advancing focus of research work. The multisensory fusion of images is having tremendous benefits in various sensitive applications like medical diagnosis for treatment, military and defence applications, computer perceptions, remote sensing, etc.  This paper focuses on the emolument of the Hybrid Image fusion technique in recently developed, one of the most advanced wavelet fusion techniques - DTCWT (Dual Tree Complex Wavelet Transform) technique. As proved by various qualitative and quantitative analysis DTCWT is an improved fusion method than DWT (Discrete Wavelet transform) having presence of phase information in coefficients of complex wavelet, appreciable directionality, shift invariance and better resolution fused results.

Key Words: Discrete Wavelet Transform, Dual Tree Complex Wavelet Transform, Hybrid Fusion, Image Fusion, MSE, PSNR, Wavelet filters.