Nonlinear exponential smoothing (NLES) algorithm for noise filtering and edge preservation
نویسندگان
چکیده
This paper introduces a new smoothing algorithm for time series processing to be implemented in various applications, including, among others, array processing and wireless communication. This new approach has also been tested for noise filtering and edge preserving in images. The algorithm is based on a nonlinear exponential smoothing (NLES) method that shows a significant improvement in the mean squared error and in the step function response, in comparison to other exponential smoothing methods. The interference-elimination results of the proposed algorithm for an input signal containing a noisy image were equivalent to those of moving average filter [1] and Wiener adaptive filter [2]; however, due to its simplicity, efficiency and reduced memory resources needed, the algorithm becomes extremely attractive.
منابع مشابه
New Nonlinear Filtering Strategies for Eliminating Short and Long Tailed Noise in Images with Edge Preservation Properties
Midpoint filter is quite effective in recovering the images confounded by the short-tailed (uniform) noise. It, however, performs poorly in the presence of additive long-tailed (impulse) noise and it does not preserve the edge structures of the image signals. Median smoother discards outliers (impulses) effectively, but it fails to provide adequate smoothing for images corrupted with nonimpulse...
متن کاملPDE-Based De-Noising Approach for Efficient Noise Reduction with Edge Preservation in Digital Image Processing
Anisotropic diffusion has widely been applied as a mechanism for intra region smoothing of images. The results of anisotropic diffusion can be used to obtain an enhanced image or as a precursor to higher-level processing such as shape description, edge detection, image segmentation and object identification and tracking, Although attractive in terms of edge localization and the ability to contr...
متن کاملPAIRED ANISOTROPIC DISTRIBUTION FOR IMAGE SELECTIVE SMOOTHING
In this paper, we present a novel approach for image selective smoothing by the evolution of two paired nonlinear partial differential equations. The distribution coefficient in de-noising equation controls the speed of distribution, and is determined by the edge-strength function. In the previous works, the edge-strength function depends on isotropic smoothing of the image...
متن کاملNonlinear Diffusion-based Image Restoration Model
A novel nonlinear PDE based image denoising and restoration approach is provided in this article. The proposed anisotropic diffusion based technique is derived from the influential Perona-Malik nonlinear diffusion scheme, representing an enhanced version of that scheme. Our model is based on new versions of the edge-stopping function and the conductance parameter. The proposed PDE-based filteri...
متن کاملNon-Linear Local Harmonic Filters For Edge-Preserving Image Denoising
We propose a new class of non-linear image recovery operators based on local smoothing applied both in the spatial domain (horizontal smoothing) and in the gray-level domain (vertical smoothing). The commonly used horizontal smoothing gives the way of reducing the noise level (noise filtering), whereas the vertical smoothing yields the edge preservation property. The method is indexed by a real...
متن کامل