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...

Noise is an important factor that degrades the quality of medical images. Impulse noise is a common noise, which is caused by malfunctioning of sensor elements or errors in the transmission of images. In medical images due to presence of white foreground and black background, many pixels have intensities similar to impulse noise and distinction between noisy and regular pixels is difficult. In ...

An algorithm of the color image noise removal algorithm is put forward based on the pixel operations. The idea of the algorithm is to read every pixel in a set order and determine whether the pixel level is consistent with the probability density function of impulse noise or not. If it is similar to noise pixel, the number of impulse noise in a certain mask is counted. If the number is less tha...

This paper studies the problem of the restoration of images corrupted by mixed Gaussian-impulse noise. In recent years, low-rank matrix reconstruction has become a research hotspot in many scientific and engineering domains such as machine learning, image processing, computer vision and bioinformatics, which mainly involves the problem of matrix completion and robust principal component analysi...

In this work we present a new approach for the median filter. We modify this nonlinear filter used in impulse noise removal by applying it only to the noisy pixels and by using a different pixel as output of the modified filter. The decision between the noisy and no noisy pixels is implemented by using the Support Vector Machines classification. We use this new classification tool because of it...

Removal of random value impulse noise is essential to help successive process like image segmentation, analysis, pattern recognition etc. To remove uniform/randomvalued impulse noise without compromising the image detail information such as sharp edges, Modified Directional Weighted Median Filter (MDWMF) is proposed. The proposed filter utilizes the second order difference (SOD) along with a th...

Data acquisition is the most important task for any system or application that includes signals. The principal source of impulse noise in digital image arises during image acquisition and transmission. The main objective of this paper is to reduce the impulse noise with less computation complexity, less memory while achieving high quantative evaluation and visual quality. In this paper, VLSI ar...