Publication Type:

Journal Article


International Journal of Applied Engineering Research, Volume 10, Number 11, p.29917–29926 (2015)



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.

Cite this Research Publication

H. P. Menon, Sreeja, S., and Narayanankutty, K. A., “Edge Preserving Image Fusion Using Linear Prediction”, International Journal of Applied Engineering Research, vol. 10, pp. 29917–29926, 2015.