Improvement of quantized adaptive switching median filter for impulse noise reduction in gray-scale digital images

Improved Adaptive Median Filter Algorithm for Removing Impulse Noise from Grayscale Images

Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...

Adaptive Optimum Notch Filter for Periodic Noise Reduction in Digital Images

Periodic noises are unwished and spurious signals that create repetitive pattern on images and decreased the visual quality. Firstly, this paper investigates various methods for reducing the effects of the periodic noise in digital images. Then an adaptive optimum notch filter is proposed. In the proposed method, the regions of noise frequencies are determined by analyzing the spectral of noisy...

A Switching Weighted Adaptive Median Filter for Impulse Noise Removal

Images are often corrupted by impulse noise due to a noisy sensor or channel transmission errors. The goal of impulse noise removal is to suppress the noise by preserving the integrity of edges and detail information. In this paper, a new filter called Switching Weighted Adaptive Median (SWAM) filter is proposed for effective suppression of impulse noise which is used to incorporate the Recursi...

A Switching Weighted Adaptive Median Filter for Impulse Noise Removal

Random-Valued Impulse Noise Reduction in Medical Images by Using Double-Checked Fast Adaptive Median Filter

Median-filters have been used for a very long time as an influential non-linear technique to removal of impulse noise. There have been many suggestions regarding the filters that can get rid of this noise while keeping the necessary details. However, these filters have one thing in common: They are only effective at low noise rate and thus are practical only for low-noise in image. Another thin...