An overview of multi-filters for eliminating impulse noise for digital images

Abstract

An image through the digitization process is referred to as a digital image. The quality of the digital image may be degenerating due to interferences on the acquisition, transmission, extraction, etc. This attracted the attention of many researchers to study the causes of damage to the information in the image. In addition to finding cause of image damage, the researchers also looking for ways to overcome this problem. There are many filtering techniques that have been introduced to deal the damage to the information in the image. In addition to eliminating noise from the image, filtering techniques also aims to maintain the originality of the features in the image. Among the many research papers on image filtering there is a lack of review papers which are an important to facilitate researchers in understanding the differences in each filtering technique. Additionally, it helps researchers determine the direction of research conducted based on the results of previous research. Therefore, this paper presents a review of several filtering techniques that have been developed so far.

A computational experimental of noise suppressing technique stand on hard decision threshold dissimilarity

“…Theoretically, the noise suppressing technique regularly constructs the undesirable effect such as blurring effect or detail losing thereupon the fundamental intention of noise suppressing technique is for concealing noise from noisy photograph whereas protecting detail. Ordinarily, impulse noise [21]- [29] has a great impact to overall quality of the recorded photograph due to the fact that the impulse noise modifies the corrupted pixel element with irregular intensity. Naturally, photographs are corrupted by the impulse noise from plentiful reasons for instant transmission or receiver failure, overload of the circuit signal or etc.…”

“…Thereafter, the noise detection techniques stand on statistical analysis scheme for RIIN was investigated by Patanavijit and Thakulsukanant [28] in 2019. Later, the noise suppressing technique stand on multi-filters was investigated by Abdurrazzaq et al [29] in 2019. As a results, plentiful noise suppressing techniques [21]- [32] have been modified from classic MF for only concealing impulsive noise pixels and un-touching noisefree pixels with better competence thereupon the hindrance of positioning identification of corrupted pixel elements is to identify the corrupted pixel element as noisy and identify the noise-free pixel element as noisefree.…”

Simulation Inquisition of Noise Dissolving Algorithm Hinge on TTSD filter for RIIN Situation

“…AMF has better effectiveness for FIIN. As a result, there are many contemporary noise dissolving algorithms [23][24][25][26][27][28][29][30][31] which can usually be separated into two essential processes: noise apprehension and noise dissolving. They have been investigated and evolved during this period of time.…”