In this digital world, due to faulty sensors, storage, and channels images videos are often corrupted by impulse noise, which is a frequently occurring noise type in an image. Impulse noise are classified into fixed valued (salt and pepper noise) and random valued impulse noise. This paper proposes an effective noise reduction method for images corrupted by the random valued impulse noise, hand...

In this paper, a new adaptive noise reduction scheme for images corrupted by impulse noise is presented. The proposed scheme efficiently identifies and reduces salt and pepper noise. MAG (Mean Absolute Gradient) is used to identify pixels which are most likely corrupted by salt and pepper noise that are candidates for further median based noise reduction processing. Directional filtering is the...

This paper presents SUSAN (Structure Preserving Noise Reduction algorithm) for gray scale images contaminated by traditional median noise. Remote sensing images are affected by different types of noise like Gaussian noise, Speckle noise and impulse noise. These noises are introduced into the under water images during acquisition or transmission process. In this paper traditional median filter a...

We propose a blind dereverberation method based on spectral subtraction using a multi-channel least mean squares (MCLMS) algorithm for distant-talking speech recognition. In a distant-talking environment, the channel impulse response is longer than the short-term spectral analysis window. By treating the late reverberation as additive noise, a noise reduction technique based on spectral subtrac...

Today, thanks to the rapid development of technology, importance digital images is increasing. However, sensor errors that may occur during acquisition, interruptions in transmission and storage cause noise degrades data quality. Salt pepper noise, a common impulse one most well-known types images. This negatively affects detailed analysis image. It very important pixels affected by are restore...

An efficient noise reduction approach is proposed by combining Robust Outlyingness Ratio (ROR) which measures how impulse like each pixel is, with noise adaptive fuzzy switching median filter (NAFSM) and fuzzy c-means (FCM) segmentation. Based on the ROR values all the pixels are divided into four levels. Then in the coarse and fine stage introduce the NAFSM filter that optimizes the performanc...

In this paper a novel adaptive noise attenuating and edge enhancing filter for color image processing is proposed. The new filtering design is based, like the vector median filter, on the minimization of aggregated weighted distances between pixels in a sliding filtering window. The weights which are assigned to the sequence of the sorted distances are decreasing functions of their ranks. In th...

We proposed a blind dereverberation method based on spectral subtraction byMulti-Channel Least Mean Square (MCLMS) algorithm for distant-talking speech recognition in our previous study [1]. In this paper, we discuss the problems of the proposed method and present some solutions. In a distant-talking environment, the length of channel impulse response is longer than the short-term spectral anal...

Effective cancellation of noise and preservation of color/structural information are features of paramount importance for any filter devoted to impulse noise removal in color images. In this paper novel full-reference tools for analyzing the behavior of this family of filters are presented. The proposed approach is based on the classification of color errors into two main classes that separatel...

A new filtering technique is proposed to denoising process on digital images. This filter is a combination of statistics and average. It is very useful for denoising if image is corrupted with impulse noise and gaussian noise. This filtering scheme offers edge and fine detail preservation performance while, at the same time, effectively denoising digital images. Extensive simulation results wer...