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.2020.01.00001Abstract:
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.
Keywords:
Extended spatial frequency,focus measures,image fusion,waveletbased focus measure,Refference:
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