The paper presents a system using Decision tree, Particle swarm optimization, and Support vector regression to design a Median-type filter with a 2-level impulse detector for image enhancement, called DPSM filter. First, it employs a varying 2-level hybrid impulse noise detector (IND) to determine whether a pixel is contaminated by impulse noises or not. The 2-level IND is constructed by a deci...

Impulse noise is one of the major obstacles of data communications over power lines. Recently, the principle of compressed sensing is proposed to apply to the impulse noise cancellation in powerline communications [4,8]. This paper is to evaluate the effectiveness of this technique against real-life impulse noises (IN) measured from real powerline communication (PLC) systems. The INs are record...

A new median-based filter, progressive switching median (PSM) filter, is proposed to restore images corrupted by salt–pepper impulse noise. The algorithm is developed by the following two main points: 1) switching scheme—an impulse detection algorithm is used before filtering, thus only a proportion of all the pixels will be filtered and 2) progressive methods—both the impulse detection and the...

In this paper, new detection mechanism for universal noise and a universal noise-filtering framework based on the nonlocal means (NL-means) has been proposed. It introduce new statistics ROR for describing the outlyingness of the pixels and propose a new detection mechanism. The proposed approach can be adapted to various models such as salt and pepper impulse noise and randomvalued impulse noi...