Non-Linear Local Harmonic Filters For Edge-Preserving Image Denoising
نویسندگان
چکیده
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 parameter yielding a generalized class of local harmonic jilters. In particular the classical M&/Max jilters as well as all linear locally weighted jilters can be obtained as special cases.
منابع مشابه
Harmonic Filters in 3D - Theory and Applications
This report proposes a concept for SE(3)-equivariant non-linear filters for multiple purposes, especially in the context of feature and object detection. The idea of the approach is to compute local descriptors as projections onto a local harmonic basis. These descriptors are mapped in a non-linear way onto new local harmonic representations, which then contribute to the filter output in a line...
متن کاملAn Optimum Adaptive Parameterized Mask NHA Based Image Denoising
In image processing, the most significant challenges have been addressed due to the image denoising. Since, the segmentation of the original image components from the noisy image has high complexity. Therefore, the different image segmentation techniques were developed for effective segmentation by categorizing the noisy images. Among different methods, the image denoising including with the ed...
متن کاملMedical Image Denoising using Non-Linear Spatial Mean Filters for Edge Detection
All medical image processing techniques need to extract meaningful information from medical images. However, the noise generated during image acquisition and transmission degrades the human interpretation, or computer-aided analysis of these images. Therefore, denoising should be performed to improve the image quality for more accurate analysis and diagnosis. In this paper we propose a medical...
متن کاملEdge-preserving Image Denoising Method Based on Dyadic Lifting Schemes
In this paper, we propose a new wavelet denoising method with edge preservation for digital images. Traditionally, most denoising methods assume additive Gaussian white noise or statistical models; however, we do not make such an assumption here. Briefly, the proposed method consists of a combination of dyadic lifting schemes and edge-preserving wavelet thresholding. The dyadic lifting schemes ...
متن کاملAdaptive Edge-Preserving Image Denoising using Arbitrarily Shaped Local Windows in Wavelet Domain
Image denoising is a well explored topic in the field of image processing. A denoising algorithm is designed to suppress the noise while preserving as many image structures and details as possible. This paper presents a novel technique for edge-preserving image denoising using wavelet transforms. The multi-level decomposition of the noisy image is carried out to transform the data into the wave...
متن کامل