Image processingImpulse noiseThe performance of an image processing algorithm can be assessed through its resulting images. However, in order to do so, both ground truth image and noisy target image with known properties are typically required. In the context of hyperspectral image processing, ...
By investigating into the directional derivatives, a method used to remove the salt and pepper noise in image processing is proposed in this paper. Numerical experiments prove that this method can filt the impulse noise from the noised images efficiently. Furthermore, comparing with the median filte...
Total Variation (TV) is an effective and popular prior model in the field of regularization-based image processing. This paper focuses on TV for image restoration in the presence of impulse noise. This type of noise frequently arises in data acquisition and transmission due to many reasons, e....
% noise_width is width of random valued impulse noise [~,x] = imhist(image_input); init_width = x(noise_width); image_noisy = image_input; Narr = rand(size(image_noisy)); p = ND/2; % image_noisy = (image_input + p*rand(size(image_input)))/(1+p); ...
Image fusionEmpirical Mode DecompositionImpulse NoiseImage ProcessingIJCSIThis paper introduces the concept of image fusion technique for impulse noise reduction in digital images. Image fusion is the process of combining two or more images into a single image while retaining the important features of ...
Image restoration is an important task in image processing. The general idea is to estimate an ideal image u from the observed noisy image f. In this paper, we restrict our attention to a mixed noise removal task. There are some different types of mixed noise models commonly considered in ...
Experiments show that the proposed filter can be used for efficient removal of impulse noise from color images without distorting the useful information in the image. 展开 关键词: Color fuzzy filter image processing impulse noise membership functions noise reduction Color fuzzy filter image processing ...
The properties of these filters in the presence of different kinds of noise are investigated. It is shown that these filters can be used for the ... I Pitas,AN Venetsanopoulos - 《Signal Processing》 被引量: 105发表: 1986年 A novel fuzzy system for edge detection in noisy image using ...
The reduction of impulse noise is crucial in processing pictures since it directly impacts the patterns of noise present. This paper proposes a two-step te
3) impulsive noise 脉冲噪声 1. Dielectric loss angle algorithm consideringimpulsive noise; 存在脉冲噪声情况下的介损角算法 2. A robust subspace tracking method inimpulsive noiseenvironment; 一种脉冲噪声中的韧性子空间跟踪方法 3. Performance of bit-interleaved differentially coded modulation in fading and...