Universal Impulse Noise Suppression Using Extended Efficient Nonparametric Switching Median Filter

Impulse Noise Removal Using Fuzzy Switching Median Filter

Elimination of noise is a necessary and challengeable operation in image processing. Before performing any operation, images have to be first restored. Images are corrupted by noise during image acquirement and transmission. Noise and blurring effects always corrupts any recorded image. To reduce the impulse noise level in digital images a novel algorithm FSM(Fuzzy Switching Median) filter is p...

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...

Improved sorted switching median filter for removal of impulse noise

Digital image processing plays important role in our daily life. Digital Image Processing involves the modification of digital data for improving the image qualities with the aid of computer. The processing helps in maximize the clarity, sharpness of image and details of features of interest. The digital image is given as input into a computer and computer is programmed to change data with the ...

A Switching Weighted Adaptive Median Filter for Impulse Noise Removal

Absolute Difference Based Progressive Switching Median Filter for Efficient Impulse Noise Removal

Digital images are often corrupted by different noises. These noises can be removed by designing an efficient filter. Based upon the specified operation the pixels are classified. Absolute Difference Based Progressive Switching Median Filter (ADBPSMF) outperforms all other filter for the removal of impulse noise from corrupted images. This filter performs two basic operations for efficient nois...