Publication Type:

Journal Article

Source:

International Journal of Applied Engineering Research, Research India Publications, Volume 10, Issue 11, p.29917-29926 (2015)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84937889012&partnerID=40&md5=101587a0d1302156dc3791ef91618457

Keywords:

Edge, Image fusion, Image fusion quality measures, Linear prediction

Abstract:

This paper focuses on enhancing the visual quality of images through edge preserving image fusion techniques. Edges in an image are considered to be one of the most prominent features for analysis. This necessitates the need for preserving the edge information in the input images under consideration in the fused output. In this work a new method is utilized in image fusion using Liner Prediction for extracting the edges. In Linear Prediction method the smooth prediction errors are minimized and steep changes are amplified and therefore, edge information can be accurately extracted when applied to image edge detection.The edges from both the input images are extracted and this edge information is used in the selection of the pixel values in the fused output image. Fused image thus obtained is found to retain maximum edges from the input images. The quality of results thus obtained is assessed using the SSIMand Fusion Mutual Information of Edges. © Research India Publications.

Cite this Research Publication

Dr. Hema Menon P., Sreeja, S., Narayanankutty, K. A., and Sasikumar, G., “Edge preserving image fusion using linear prediction”, International Journal of Applied Engineering Research, vol. 10, no. 11, pp. 29917-29926, 2015.

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