Survey On Image Fusion Algorithm

Maheswari.S,Dr.Reeba Korah

Abstract The objective of image fusion is to merge information from two or more images. The image fusion process is used to give a new resultant image which has better information and is more suitable for visual perception. Fusion is mainly to integrate complementary multi-sensor, multi-temporal and/or multi-view information into new fused image. It is used to minimize uncertainty and redundancy in the output while maximizing relevant information particular to an application. Image fusion has been used in many application areas. Multisensory fusion is used to achieve high spatial and spectral resolutions by combining images from two sensors, one of which has high spatial resolution and the other one high spectral resolution in remote sensing areas. The aim of this paper is to give a literature review on various fusion techniques like Principal component analysis, Pyramid method and wavelet based fusion methods. Many researches are going on detecting human skin regions in color image and in video sequence. It is very challenging to recognize a skin and non skin regions from an image. Skin detection is established by using skin modeling and segmentation of skin regions. Image fusion is a new technique which can produce more complete information which is useful for human perceptron and the fusion results can give better color preserve information which is highly useful for detecting skin regions and also applicable for face detection application. The various fusion applications have appeared in medical imaging like simultaneous evaluation of CT, MRI, and/or PET images, military applications like detection, location, tracking and identification of military entities. Keywords: Image fusion, Types of image fusion

Title:	Survey On Image Fusion Algorithm
Author Name:	Maheswari.S,Dr.Reeba Korah
Abstract:	Abstract The objective of image fusion is to merge information from two or more images. The image fusion process is used to give a new resultant image which has better information and is more suitable for visual perception. Fusion is mainly to integrate complementary multi-sensor, multi-temporal and/or multi-view information into new fused image. It is used to minimize uncertainty and redundancy in the output while maximizing relevant information particular to an application. Image fusion has been used in many application areas. Multisensory fusion is used to achieve high spatial and spectral resolutions by combining images from two sensors, one of which has high spatial resolution and the other one high spectral resolution in remote sensing areas. The aim of this paper is to give a literature review on various fusion techniques like Principal component analysis, Pyramid method and wavelet based fusion methods. Many researches are going on detecting human skin regions in color image and in video sequence. It is very challenging to recognize a skin and non skin regions from an image. Skin detection is established by using skin modeling and segmentation of skin regions. Image fusion is a new technique which can produce more complete information which is useful for human perceptron and the fusion results can give better color preserve information which is highly useful for detecting skin regions and also applicable for face detection application. The various fusion applications have appeared in medical imaging like simultaneous evaluation of CT, MRI, and/or PET images, military applications like detection, location, tracking and identification of military entities. Keywords: Image fusion, Types of image fusion
Cite this article:	Maheswari.S,Dr.Reeba Korah , " Survey On Image Fusion Algorithm " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 4, Issue 1, January - February 2015 , pp. 157-161 , ISSN 2278-6856.
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