Comprehensive and Comparative Study ofDifferent Image Fusion Techniques

International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering

article

M. Ramya Princess¹  V. Suresh Kumar¹  M. Ramjan Begum¹ 

[1] Dept. of EIE, Valliammai Engineering College

关键词: Wavelet Transform;    DCWT;    Curvelet Transform;    Principal Component Analysis;    Mean Square Error;    PeakSignal to Noise Ratio;   

DOI  :  10.15662/ijareeie.2014.0309015

来源: Research & Reviews

【 摘 要 】

Image Fusion is the process in which two or more images are combined into single composite image which can retain all important features of all original images. Image Fusion is one of the major research fields in image processing. This technique can be applied in variety of domains: Navigation, Remote Sensing, Object detection, Object recognition, etc. And it plays a major role in medical applications in order to improve diagnosis and for proper treatment planning. The main objective of image fusion is to reduce redundancy and to extract particular information. The purpose of this paper is to elaborate wide range of algorithms and their comparative study together. There are many techniques proposed by different authors in order to fuse the images and produce the clear visual of the image. And this paper also provides survey about some of the various existing techniques applied for image fusion and comparative study of all the techniques concludes the better approach for its future research.

【 授权许可】

Unknown