3th WCSET-2014 at Nepal

 

Computer Science and Electrical Engineering Session:

Title:            Pixel level image fusion– a review on various techniques
Authors:       Jagalingam P., Arkal Vittal Hegde
Abstract:      Image fusion integrates the spatial information of high-resolution panchromatic (PAN) image and the color information of a low resolution multispectral (MS) image to produce high resolution MS image. The technique generates a single new enhanced image that provides richer information than each of the individual images. Image fusion can be performed at different levels of information representation, namely: pixel level, feature level and decision level. Almost all image fusion algorithms developed to-date, work only at pixel level. One of the keys to image fusion algorithms is how effectively and completely to represent the source images. The present paper reviews some of the successful pixel level image fusion algorithms such as principal component analysis, intensity hue saturation, brovey transform and multi-scale transform etc., and discusses their strengths and weaknesses.

Keywords:    Pixel – level image fusion, Principal component analysis, Intensity hue saturation, Brovey transform, Multiscale transform.
Pages:          521-528

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