Noise is impulse on images due to several factors like malfunctioning in pixels due to camera sensor, transmission of images in noisy channel, hardware problem etc. This paper surveys various techniques for removal of impulse noise. To reduce the impulse noise level in Digital images various filters were introduced amongst which (SAM) Simple Adaptive Median is one of the method, which uses hybr...

The performance of gradient search adaptive filters, such as the least mean squares (LMS) algorithm, may degrade badly when the filter is subjected to input signals which are corrupted by impulsive interference. The median LMS (MLMS) adaptive filter is designed to alleviate this problem by protecting the filter coefficients from the impact of the impulses. MLMS is a modification of LMS, obtaine...

Medical ultrasound is a powerful nonivasive diagnostics tool. Due to physical factors of the diagnostics system, ultrasound generated images usually contain some noise where specle noise is often a prominent component. In this paper we propose an adaptive median filter with adaptive window size for removing speckle noise from ultrasound medical images, including the case when spots are larger t...

Image de-noising and clustering in medical images are quite complex because of narrow dynamic range and in-homogeneity. Pre processing steps like image de-noising do have influence over the subsequent image processing which misleads further image analysis. In this paper, a new method which incorporates the advantages of adaptive center weighted median filter and hybrid median filter, called Ite...

An Adaptive varying window size Recursive Weighted Median Filter [ARWMF] for removing the impulse noise in Color images is presented. The weights for the RWMF are calculated by using the median controlled algorithm. By applying Region of Interest [ROI] on selected windows the weight calculation’s efficiency can be increased and the memory will be reduced because of the ROI. In median controlled...

In this letter, a novel adaptive filter, the adaptive two-pass median (ATM) filter based on support vector machines (SVMs), is proposed to preserve more image details while effectively suppressing impulse noise for image restoration. The proposed filter is composed of a noise decision maker and two-pass median filters. Our new approach basically uses an SVM impulse detector to judge whether the...