A Study of Quality Assessment Techniques for Fused Images
G. N. Raut1, P. L. Paikrao2, D. S. Chaudhari3
1Gauravkumar N. Raut, Department of Electronics and Telecommunication, Government College of Engineering, Amravati (Maharashtra), India.
2Prashant P. Paikrao, Department of Electronics and Telecommunication, Government College of Engineering, Amravati (Maharashtra), India.
3Dr. Devendra S. Chaudhari, Department of Electronics and Telecommunication, Government College of Engineering, Amravati (Maharashtra), India.
Manuscript received on 12 March 2013 | Revised Manuscript received on 21 March 2013 | Manuscript Published on 30 March 2013 | PP: 290-294 | Volume-2 Issue-4, March 2013 | Retrieval Number: D0603032413/13©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Critical image processing tasks can be efficiently executed by fusion of images taken from range of distributed sensors. Advancements in digital image processing and communication technology with invent of new sensors experiencing the excessive need of effective image quality assessment of image fusion techniques. Various metrics have been discussed for quality measurement of fused image based on subjective or objective assessment. Objective quality assessment techniques are preferred over subjective since they do not involve the complexity in their practical implementation and validation. Based on availability of an ideally fused (reference) image, the metrics are classified into referential and non referential metrics. This paper presents an overview of different objective techniques for fused image quality assessment.
Keywords: Image Quality Assessment, Image Fusion, Performance Metric
Scope of the Article: Image Security