Design of a Novel Image Fusion Algorithm for Impulse Noise Removal in Remote Sensing Images by Using the Quality Assessment

Image fusion is important technique used in Remote Sensing application. It plays a very important role in Satellite based communication. Here, introduces a new technique fusion followed by filtering for remove impulse noise in remote sensing images. The Non-Linear filtering algorithms, Vector Median Filter (VMF), Rank Conditioned VMF, Rank Conditioned and Threshold VMF, Center Weighted VMF and Absolute Deviation VMF are introduced. These filtered images are combined to single image called image fusion. The performance evaluation for filtered and fused image with respect to original image by calculating the Mean Square Error (MSE), Peak Signal To Noise Ratio (PSNR) and Structural Similarity Index (SSIM).