Journal ArticleDOI
Nonsubsampled contourlet transform-based conditional random field for SAR images segmentation
TLDR
A new texture-based conditional random field (CRF) for Synthetic Aperture Radar (SAR) image segmentation is proposed which uses the nonsubsampled contourlet transform (NSCT) as an overcomplete transform which compensates the shortcomings of the traditional contourlets.About:
This article is published in Signal Processing.The article was published on 2020-09-01. It has received 11 citations till now. The article focuses on the topics: Contourlet & Image segmentation.read more
Citations
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Journal ArticleDOI
Quaternion discrete fractional Krawtchouk transform and its application in color image encryption and watermarking
TL;DR: The promising experiment results demonstrate the effectiveness and efficiency of the proposed QDFrKT based color image encryption and watermarking techniques.
Journal ArticleDOI
Fully Statistical, Wavelet-based conditional random field (FSWCRF) for SAR image segmentation
TL;DR: A new CRF-based algorithm for SAR image segmentation using the benefit of the 2-D wavelet transform and a new unary function is proposed which exactly matches the statistical properties of the wavelet coefficients and produces more accurate parameters for different regions.
Journal ArticleDOI
Alternative Thresholding Technique for Image Segmentation Based on Cuckoo Search and Generalized Gaussians
TL;DR: This work proposes a strategy based on the Cuckoo Search Algorithm and the Generalized Gaussian distribution to assess the optimal threshold, and shows an evident advantage of the proposed strategy against other algorithms.
Journal ArticleDOI
A new conditional random field based on mixture of generalized Gaussian model for synthetic aperture radar image segmentation
TL;DR: A new algorithm using a conditional random field model based on texture features for Synthetic Aperture Radar (SAR) image segmentation is proposed, and the experimental analysis demonstrates that segmentation results are effectively improved compared to the previous CRF methods.
Posted Content
A Feature Fusion-Net Using Deep Spatial Context Encoder and Nonstationary Joint Statistical Model for High Resolution SAR Image Classification.
TL;DR: Wang et al. as discussed by the authors proposed a novel end-to-end supervised classification method for HR SAR images by considering both spatial context and statistical features, which can learn the discriminative features and improve the final classification performance.
References
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Journal ArticleDOI
The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
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 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.
Proceedings ArticleDOI
Image smoothing via L0 gradient minimization
TL;DR: This work presents a new image editing method, particularly effective for sharpening major edges by increasing the steepness of transition while eliminating a manageable degree of low-amplitude structures in an optimization framework making use of L0 gradient minimization.
Journal ArticleDOI
A filter bank for the directional decomposition of images: theory and design
R.H. Bamberger,Mark J. T. Smith +1 more
TL;DR: A directionally oriented 2-D filter bank with the property that the individual channels may be critically sampled without loss of information is introduced and it is shown that these filter bank outputs may be maximally decimated to achieve a minimum sample representation in a way that permits the original signal to be exactly reconstructed.
Journal ArticleDOI
Image smoothing via L0 gradient minimization
TL;DR: A new image editing method, particularly effective for sharpening major edges by increasing the steepness of transition while eliminating a manageable degree of low-amplitude structures, is presented.
Related Papers (5)
Two new methods based on contourlet transform for despeckling synthetic aperture radar images
SAR image denoising in nonsubsampled contourlet transform domain based on maximum a posteriori and non-local constraint
Chunyu Yue,Wanshou Jiang +1 more