In this paper a novel adaptive filtering scheme for impulsive noise removal in color images is presented. The noise detection algorithm is based on the concept of aggregated distances assigned to the pixels belonging to the filtering window. The value of the difference between the accumulated distance assigned to the central sample and to the pixel with the lowest rank serves as an indicator of...

In every image processing algorithm quality of image plays a very vital role because the output of the algorithm depends on the quality of input image. Hence, several techniques are used for image quality enhancement and image restoration. Some of them are common techniques applied to all the images without having prior knowledge of noise and are called image enhancement algorithms. Some of the...

Problem of impulse noise reduction is a very well studied problem in image processing community and many different approaches have been proposed to tackle this problem. In the current work, the problem of fixed value impulse noise (salt and pepper) removal from images is investigated by use of a Markov Random Field (MRF) models with smoothness priors. After the formulation of the problem as an ...

Noise removal techniques play a vital role in the performance of electrocardiographic (ECG) signal processing systems. ECG signals can be corrupted by various kinds of noise such as baseline wander noise, electromyographic interference, and powerline interference. One of the significant challenges in ECG signal processing is the degradation caused by additive 50 or 60 Hz powerline interference....

sHaze and noise performance detection (HNPD) filter is proposed for impulse noise and haze removal in images. In this approach, the noisy pixels are detected in single phase, based on a set of irreplaceable connection criteria. Simulation results show that the HNPD filter outperforms others at medium to high noise rates and suppresses impulse noise and haze effectively while preserving image de...

--The most median-based de noising methods works fine for restoring the images corrupted by Random Valued Impulse Noise with low noise level but very poor with highly corrupted images. In this paper a directional weighted minimum deviation (DWMD) based filter has been proposed for removal of high random valued impulse noise (RVIN). The proposed approach based on Standard Deviation (SD) works in...

In this paper, the authors propose an efficient technique called Iterative and Adaptive Noise Detection Method (IANDM) for detecting the corrupted pixel in the image and for estimating the original value of the corrupted pixel. With the proposed method the noise pixel detection is improved by giving important to both the local and the global features. The proposed AMPMAD algorithm has a highest...