PERFORMANCE EVALUATION OF MULTIFOCUS COLOR IMAGE FUSION USING EXTENDED SPATIAL FREQUENCY AND WAVELET-BASED FOCUS MEASURES IN STATIONARY WAVELET TRANSFORM DOMAIN

Authors:

N. Radha,T. Ranga Babu,

DOI NO:

https://doi.org/10.26782/jmcms.2020.01.00001

Keywords:

Extended spatial frequency,focus measures,image fusion,waveletbased focus measure,

Abstract

The Multifocus image fusion objective in visual sensor networks is to combine the multi-focused images of the same scene into a focused fused image with improved reliability and interpretation. However, the existing fusion methods based on focus measures are not able to get entire focused fused image since they neglect the diagonal neighbor pixels during the selection of the focused objects. In order to get an image with all objects in focus a novel image fusion method using extended spatial frequency and wavelet based focus measures in the stationary wavelet transform domain is proposed. In our method, initially the two multi-focus source images are transformed and decomposed as low and high-frequency sub bands by using stationary wavelet transform. Then, each sub band is divided into equal subblocks. Focused sub-blocks of low and high-frequency sub bands are selected by using the extended spatial frequency and wavelet based focus measures. Lastly, the fused image is restored by performing the inverse stationary wavelet transform on selected sub-blocks. The performance of the proposed method is verified by carrying out the fusion on artificial, natural and misregistered multifocus images. The results of the proposed method are then compared with the results of existing image fusion methods. The experimental results indicate that proposed method not only removes artifacts in the fused image due to the shift-invariance of stationary wavelet transform and also preserves sharp details using extended spatial frequency and wavelet based focus measures.

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