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The key issue of edge detection is to filter more noises while obtaining more edge details. This paper proposed a novel edge detection method based on the fusion of wavelet transform and mathematical morphology. Firstly, decompose image into high and low frequency parts via wavelet transform. Secondly, process the high and low frequency parts respectively: apply multi-scale wavelet transform to detect...
A new application for variational derivative to image restoration is proposed. Firstly an appropriate cost functional is chosen. To overcome the shortcoming of linear diffusion of blurring edges, the linear diffusion coefficient at each pixel is perturbed. Then, by it's definition, F derivative can be taken as an indicator to pick out the most suitable pixels at which the linear diffusion coefficients...
In this paper, we propose a new variational model for image denoising, which contains two regularizing term. One regularizing term is BV norm, another is formulated in terms of summation in curvelet domain. Solving this new variational model results in an iterative algorithm, which combines naturally curvelet shrinkage with nonlinear anisotropic diffusion equations. Numerical examples show that the...
Image denoising is the first pre-processing step in analyzing and understanding images, and is crucial to acquire the high-quality image products. QuickBird, launched in October 18, 2001, is the highest spatial resolution remote sensing image until now, and can be used in various fields. In order to take the benefit of the high spatial resolution information of the QuickBird panchromatic images, this...
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