A Non-linear adaptive decision based algorithm with robust motion estimation technique is proposed for removal of impulse noise, Gaussian noise and mixed noise (impulse and Gaussian) with edge and fine detail preservation in images and videos. The algorithm includes detection of corrupted pixels and the estimation of values for replacing the corrupted pixels. The main advantage of the proposed ...

The aim of this paper is to present of standard median and recursive median one-dimensional nonlinear filters. Median filtering is a popular method of noise removal, employed extensively in applications involving speech, signal and image processing. This non-linear technique has proven to be a good alternative to linear filtering as it can effectively suppress impulse noise while preserving edg...

Noise removal is an important aspect of image processing, as the human visual system is very sensitive to the high amplitude of noise signals, thus noise in an image can result in a subjective loss of information. LULU operators are non-linear rank order filters, which efficiently and successfully remove impulse noise. Certain image details, such as thin lines and circles, textures etc. are oft...

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 o...

–Fuzzy filter is a filter technique for the removal of random impulse noise in color video. By working with different successive filtering steps, a very good tradeoff between detail preservation and noise removal is obtained. So, to noise is filtered step by step. In each step, noise pixels in color frame are detected using fuzzy rules, which are very useful for the processing of human knowledg...

In this paper a novel adaptive filtering scheme for impulsive noise removal in colour 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 ...