Publication Type:

Journal Article

Source:

International Journal of Biomedical Engineering and Technology, Inderscience Enterprises Ltd., Volume 18, Issue 1, p.52-71 (2015)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84944348568&doi=10.1504%2fIJBET.2015.069852&partnerID=40&md5=5b17e9df007bdac8000abc16245a5eba

Keywords:

article, Biophysics, Comparative analysis, Comparative performance, contrast, histogram, image analysis, Image fusion, Image processing, Image quality, image registration, information, moving least square, Moving least squares, parameters, Perceptual contrast, Perceptual quality, Quality assessment, Quality control, registration, Registration techniques, Regression analysis, Structural similarity index measures

Abstract:

This paper exploits the different perceptual contrast information in images reported for fusion which can produce a composite image which is visually or perceptually having better quality. The various types of measures that are used for extracting the perceptual contrast information are reviewed. A comparative analysis of the results obtained based on perceptual quality metric using a single registration technique, namely the MLS, reported earlier by the authors has been done. It has also been suggested that the quality assessment of the fused images has to be based on the three parameters: edge information, image histogram and structural similarity index measure. Comparison of the fusion results has been done using these three parameters and also the PSNR and quality index metric. Copyright © 2015 Inderscience Enterprises Ltd.

Cite this Research Publication

Dr. Hema Menon P. and Narayanankutty, K. A., “Comparative performance of different perceptual contrast fusion techniques using MLS”, International Journal of Biomedical Engineering and Technology, vol. 18, no. 1, pp. 52-71, 2015.

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