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Journal ArticleDOI

Multifocus image fusion using the nonsubsampled contourlet transform

Qiang Zhang, +1 more
- 01 Jul 2009 - 
- Vol. 89, Iss: 7, pp 1334-1346
TLDR
A novel image fusion algorithm based on the nonsubsampled contourlet transform (NSCT) is proposed, aiming at solving the fusion problem of multifocus images, and significantly outperforms the traditional discrete wavelets transform-based and the discrete wavelet frame transform- based image fusion methods.
About
This article is published in Signal Processing.The article was published on 2009-07-01. It has received 593 citations till now. The article focuses on the topics: Contourlet & Image fusion.

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Citations
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Journal ArticleDOI

Image Fusion With Guided Filtering

TL;DR: Experimental results demonstrate that the proposed method can obtain state-of-the-art performance for fusion of multispectral, multifocus, multimodal, and multiexposure images.
Journal ArticleDOI

A general framework for image fusion based on multi-scale transform and sparse representation

TL;DR: A general image fusion framework by combining MST and SR to simultaneously overcome the inherent defects of both the MST- and SR-based fusion methods is presented and experimental results demonstrate that the proposed fusion framework can obtain state-of-the-art performance.
Journal ArticleDOI

Multi-focus image fusion with a deep convolutional neural network

TL;DR: A new multi-focus image fusion method is primarily proposed, aiming to learn a direct mapping between source images and focus map, using a deep convolutional neural network trained by high-quality image patches and their blurred versions to encode the mapping.
Journal ArticleDOI

Image Fusion With Convolutional Sparse Representation

TL;DR: A recently emerged signal decomposition model known as convolutional sparse representation (CSR) is introduced into image fusion to address this problem, motivated by the observation that the CSR model can effectively overcome the above two drawbacks.
Journal ArticleDOI

Performance comparison of different multi-resolution transforms for image fusion

TL;DR: The experimental results show that the shift-invariant property is of great importance for image fusion, and it is concluded that short filter usually provides better fusion results than long filter, and the appropriate setting for the number of decomposition levels is four.
References
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Journal ArticleDOI

Image quality assessment: from error visibility to structural similarity

TL;DR: In this article, a structural similarity index is proposed for image quality assessment based on the degradation of structural information, which can be applied to both subjective ratings and objective methods on a database of images compressed with JPEG and JPEG2000.
Journal ArticleDOI

The Laplacian Pyramid as a Compact Image Code

TL;DR: A technique for image encoding in which local operators of many scales but identical shape serve as the basis functions, which tends to enhance salient image features and is well suited for many image analysis tasks as well as for image compression.
Journal ArticleDOI

The contourlet transform: an efficient directional multiresolution image representation

TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Journal ArticleDOI

The Lifting Scheme: A Custom-Design Construction of Biorthogonal Wavelets

TL;DR: In this paper, a lifting scheme is proposed for constructing compactly supported wavelets with compactly support duals, which can also speed up the fast wavelet transform and is shown to be useful in the construction of wavelets using interpolating scaling functions.
Journal ArticleDOI

The Nonsubsampled Contourlet Transform: Theory, Design, and Applications

TL;DR: This paper proposes a design framework based on the mapping approach, that allows for a fast implementation based on a lifting or ladder structure, and only uses one-dimensional filtering in some cases.
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