• Dammavalam Srinivasa Rao

Image fusion has become essential to which more and more general formal solutions to a number of applications are demanded. Several situations in image processing simultaneously require high spatial and high spectral information in a single image. Image fusion is the process of combining information from two or more images of a scene into a single composite image that is more informative and is more suitable for visual perception or computer processing. The image fusion approach has already been implemented in various image processing applications medical imaging, automatic target guidance system, remote sensing, machine vision, automatic change detection, biometrics where exactness in the information content is very important. This paper emphasizes on the comparison of image fusion techniques of Principle Component Analysis (PCA), Intensity-Hue-Saturation (IHS), Bravery Transform (BT), Smoothing Filter-based Intensity Modulation (SFIM), High Pass Filter (HPF) and Multiplication (ML). The image fusion techniques are described and compared along with parameters and utilities. It was shown that SFIM image fusion method has better performance than other methods

spatial information, Image Fusion, Remote sensing, change detection, image classification.

"COMPARISION OF PIXEL - LEVEL BASED IMAGE FUSION TECHNIQUES AND ITS APPLICATION IN IMAGE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.1, Issue 2, page no.704-709, July-2014, Available :http://www.jetir.org/papers/JETIR1701949.pdf

"COMPARISION OF PIXEL - LEVEL BASED IMAGE FUSION TECHNIQUES AND ITS APPLICATION IN IMAGE CLASSIFICATION", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.1, Issue 2, page no. pp704-709, July-2014, Available at : http://www.jetir.org/papers/JETIR1701949.pdf