Information measure for performance of image fusion

2002/03/28 by Guihong Qu, Qu Guihong, Dali Zhang +2 · 1,419 citations
Computer Science · Engineering · Mathematics · #Advanced Image Fusion Techniques #Artificial intelligence #Computer science #Computer vision #Data mining #Fusion #Image (mathematics) #Image and Signal Denoising Methods #Image fusion #Information fusion #Mathematics #Measure (data warehouse) #Modalities #Mutual information #Pattern recognition (psychology) #Relation (database) #Remote-Sensing Image Classification

paper · open access · doi:10.1049/el:20020212

published in Electronics Letters 38(7), 313-315 (Institution of Engineering and Technology)

openalex publication_date 2002/03/28 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05

Abstract

Mutual information is proposed as an information measure for evaluating image fusion performance. The proposed measure represents how much information is obtained from the input images. No assumption is made regarding the nature of the relation between the intensities in both input modalities. The results show that the measure is meaningful and explicit.

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