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Found 11 papers, 0 papers with code
Improved Adaptive Brovey as a New Method for Image Fusion
An ideal fusion method preserves the Spectral information in fused image and adds spatial information to it with no spectral distortion.
Hyperspectral Images Classification Using Energy Profiles of Spatial and Spectral Features
This paper proposes a spatial feature extraction method based on energy of the features for classification of the hyperspectral data.
Panchromatic Sharpening of Remote Sensing Images Using a Multi-scale Approach
We show that our model is more consistent with natural MS and PAN images.
A new ultrasound despeckling method through adaptive threshold
An efficient despeckling method using a quantum-inspired adaptive threshold function is presented for reducing noise of ultrasound images.
Image denoising through bivariate shrinkage function in framelet domain
For every framelet coefficient, there is a corresponding threshold depending on the local statistics of framelet coefficients.
Robust non-local means filter for ultrasound image denoising
This paper introduces a new approach to non-local means image denoising.
A New Multifocus Image Fusion Method Using Contourlet Transform
A new multifocus image fusion approach is presented in this paper.
Improving high-pass fusion method using wavelets
In an appropriate image fusion method, spatial information of the panchromatic image is injected into the multispectral images such that the spectral information is not distorted.
Using Complex Wavelet Transform and Bilateral Filtering for Image Denoising
In the literature, the effectiveness of this method for image denoising is shown.
A New Method for Removing the Moire' Pattern from Images
At the second part of this paper, to demonstrate the robustness of the proposed method, it is implemented for some noisy images that have moire' pattern.
MS and PAN image fusion by combining Brovey and wavelet methods
Among the existing fusion algorithms, the wavelet fusion method is the most frequently discussed one in recent publications because the wavelet approach preserves the spectral characteristics of the multispectral image better than other methods.
