Image fusion based on regional energy and standard deviation

Xing, Suxia; Chen, Tianhua; Jing-xian, Li

doi:10.1109/icsps.2010.5555262

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2012

2022

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Cited by 6 publications

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“…At present, the image fusion evaluation methods [2] can mainly be divided into two categories, namely, subjective evaluation methods and objective evaluation methods.…”

Section: Results and Analysismentioning

confidence: 99%

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Image fusion using Kekre's hybrid wavelet transform

Kekre

Sarode²,

Dhannawat

2012

2012 International Conference on Communication, Information &Amp; Computing Technology (ICCICT)

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Image fusion combines several images of same object or scene so that the final output image contains more information. The main requirement of the fusion process is to identify the most significant features in the input images and to transfer them without loss into the fused image. This paper proposes four new techniques for image fusion using Kekre's hybrid wavelet transform techniques and compare them. Hybrid matrices are generated using combination of various matrices like DCT, Hadamard and Kekre's Transform. The main advantage of these transform matrices is that it can be of any size NxN, which need not to be an integer power of 2.

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“…At present, the image fusion evaluation methods [2] can mainly be divided into two categories, namely, subjective evaluation methods and objective evaluation methods.…”

Section: Results and Analysismentioning

confidence: 99%

“…2 and results are compared based on measures like entropy [13], mean, standard deviation and mutual information [2] [3]. Figure 3 shows Image fusion by different techniques for hill images with different focus.…”

Section: Results and Analysismentioning

confidence: 99%