An Improved & Hybrid CLAHE-IHS Based Image Fusion Technique

Abstract

Image fusion is a process which combines the data from two or more source images from the same scene to generate one single image. It contains more precise details of the scene compared to the source images. The image fusion methods like averaging, principle component analysis and various types of Pyramid Transforms, and ANN (Artificial Neural Networking) they are the most common approaches. In this technique we have propose a new fusion scheme for fusing the CLAHE-IHS(Contrast Limited Adaptive Heist Eqn-Intensity Hue Saturation) method used for its efficiency and high spatial resolution to improve the spectral quality of the image. In this process we improve spectral resolution compared to the original image. The adaptive CLAHE-IHS method produces images with higher spectral resolution along the high-quality spatial resolution of the original image. The output image will contain better quality. The performance of the resultant image may calculated by histogram & PSNR (Peak Signal to Noise Ratio).