Image Fusion Techniques and Applications: A Review

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Ms. Payal Pimpalkar, Ms. Visheshni Thombre, Ms. Tarini Salve, Ms. Sunita Ingle, Prof. A. R. Dandekar

Abstract

Image fusion is characterized as the way toward joining at least two unique images into another single image holding imperative components from every image with amplified data content. The aftereffect of image fusion is another image which is more appropriate for human and machine discernment or further image handling undertakings, for example, division, highlight extraction and protest acknowledgment. This paper presents survey on a portion of the image fusion systems i.e. basic normal, basic most extreme, PCA, DCT, DWT. Similar investigation of every one of these strategies reasons that DWT is better approach.

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How to Cite
, M. P. P. M. V. T. M. T. S. M. S. I. P. A. R. D. (2018). Image Fusion Techniques and Applications: A Review. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 4(2), 472–475. Retrieved from http://www.ijfrcsce.org/index.php/ijfrcsce/article/view/1245
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