Shah, P and Merchant, S N and Desai, U B
(2011)
An efficient spatial domain fusion scheme for multifocus images using statistical properties of neighborhood.
In: 12th IEEE International Conference on Multimedia and Expo, ICME 2011, 11-15, July 2011, Barcelona; Spain.
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Abstract
In this paper we present a spatial domain method to fuse multifocus images. Here the fused image pixel is selected from one of the source images based on a novel selection criterion that utilizes the statistical properties of the neighborhood. The eigen value of the unbiased estimate of the covariance matrix of an image block depends on the strength of edges in the block and thus provides a good base for selecting/ rejecting a pixel, giving preference to the pixel with the higher eigen value and thus the sharper neighborhood. To prevent a noise pixel from getting selected as a fused image pixel, a continuity constraint is imposed on the selection criteria. The performance of the method have been extensively tested on several pairs of multifocus images and compared quantitatively with existing methods. Experimental results show that the proposed method improves fusion quality by reducing loss of information by almost 50% and noise by more than 95%. It also show that evaluation based on widely used criteria like entropy, gradient, deviation, may not be enough; as in some cases, these criteria are not consistent with the ground truth. It demonstrates that Petrovic metrics are in correlation with the ground truth as well as visual quality.
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