Performance of image fusion technique using 4×4 block wavelet cosine transformation

Image fusion is the process for combining the characteristics of two or more images into an image file to generate more information into an image. Research Issues of Image fusion is enhancement of visual quality of fused image by reducing the noise. Wavelet transformation based Image fusion techniques provide better robustness for statistical attacks in comparison to Discrete Cosine Transform domain and Spatial Domain-based Image fusion. The combined technique of discrete cosine harmonic wavelet transform (DCHWT) provides advantages of DWT and DCT both techniques but the DWT have the disadvantage of fraction loss in embedding which increases mean square error and results decreasing PSNR. Robustness of fusion technique is proportional to PSNR. The Proposed algorithm presents Hybrid Integer wavelet transform and 4×4 block discrete cosine transform based image fusion technique to obtain image quality and higher informatics compared to DWT-DCT and DCHWT based fusion technique. The proposed combined 4×4 block IWT-DCT based image fusion technique reduces the MSE compared to existing DWT-DCT and DCHWT based image fusion.