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Journal ArticleDOI

Multi-focus image fusion based on multi-scale sparse representation

TLDR
A fusion method based on multi-scale sparse representation for registered multi-focus images (MIF-MsSR), which not only reserves the integrity of the information in source images, but also has better fusion performance on subjective and objective indicators than other state-of-the-art methods.
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This article is published in Journal of Visual Communication and Image Representation.The article was published on 2021-11-01. It has received 4 citations till now. The article focuses on the topics: Sparse approximation & Image fusion.

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Citations
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Subject evaluation criteria for image fusion used in paper Image Fusion Algorithm Based on Spatial Frequency-Motivated Pulse Coupled Neural Networks in Nonsubsampled Contourlet Transform Domain

TL;DR: In this article, the authors proposed a method for navigation system with the assistance of the Navigation Science Foundation of P. R. China (05F07001) and National Natural Science Foundation (NNSF) of China (60472081).
Journal ArticleDOI

Critical reflection on quantitative assessment of image fusion quality

TL;DR: Zhang et al. as mentioned in this paper found that image dissimilarities are unavoidable due to the spectral coverage of different image sensors and that image fusion should integrate these disimilarities when they are representing spatial improvement.
Journal ArticleDOI

GIPC-GAN: an end-to-end gradient and intensity joint proportional constraint generative adversarial network for multi-focus image fusion

TL;DR: Zhang et al. as mentioned in this paper proposed a new gradient-intensity joint proportional constraint generative adversarial network for multi-focus image fusion, with the name of GIPC-GAN.
References
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Journal ArticleDOI

Visual saliency detection based on multi-scale and multi-channel mean

TL;DR: Experimental results show that the proposed method outperforms 9 state-of-the-art methods both on the definition and accuracy of salient detection.
Journal ArticleDOI

Modification of Gradient Vector Flow Using Directional Contrast for Salient Object Detection

TL;DR: The comparative study of the proposed method for salient object detection with other state-of-the-art methods available in the literature is presented in terms of precision, recall, and F1-Score.
Journal ArticleDOI

Multi-Focus Image Fusion Based on Decision Map and Sparse Representation

Bin Liao, +2 more
- 02 Sep 2019 - 
TL;DR: This paper proposes an entirely new multi-focus image fusion method based on decision map and sparse representation (DMSR), and shows that the proposed method is superior to the other five fusion methods, both in terms of visual effect and quantitative evaluation.
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