Multi-Focus Image Fusion Using Energy Coefficient Matrix

Khan, Asifullah; Fayyaz, M.; Gillani, Asif M.

doi:10.1007/978-1-4020-6264-3_91

Cited by 2 publications

(1 citation statement)

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“…Because the structural similarity based on human vision contains mean and variance two basic elements which correspond to human visual characteristics, the brightness and contrast of image are reflected. However, the retention value of edge information of image is an important index to measure the richness of image information [1], which shows the contained edge information in the image. Therefore, this paper proposes an evaluation method based on the structural similarity and edge information retention value through the definition of structural similarity and edge information retention value.…”

Section: Evaluation Indexmentioning

confidence: 99%

A new evaluation method research for fusion quality of infrared and visible images

Ge¹,

Ji²,

Zhong-xiang³

et al. 2017

AIP Conference Proceedings

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Abstract. In order to objectively evaluate the fusion effect of infrared and visible image, a fusion evaluation method for infrared and visible images based on energy-weighted average structure similarity and edge information retention value is proposed for drawbacks of existing evaluation methods. The evaluation index of this method is given, and the infrared and visible image fusion results under different algorithms and environments are made evaluation experiments on the basis of this index. The experimental results show that the objective evaluation index is consistent with the subjective evaluation results obtained from this method, which shows that the method is a practical and effective fusion image quality evaluation method.

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Section: Evaluation Indexmentioning

confidence: 99%