An Iterative Weighted Mean Filter for Mixed Noise Reduction

Circular Mean Filtering For Textures Noise Reduction

In this paper, a special preprocessing operations (filter) is proposed to decrease the effects of noise of textures. This filter using average of circular neighbor points (Cmean) to reduce noise effect. Comparing this filter with other average filters such as square mean filter and square median filter indicates that it provides more noise reduction and increases the classification accuracy...

An Adaptive Subspace Filter for Noise Reduction

In this paper, we present a novel structure for adap-tive noise ltering based on subspace methods. Our approach requires no eigenvalue or singular value decomposition to obtain the principal signal components. In addition, only the noisy signal, and no reference signal is needed. A modiied RLS adaptive algorithm is proposed which approximately performs the principal component analysis of the no...

An iterative approach for estimation of efficiency by weighted distance

Reduction of Impulse Noise Using Improved Weighted Average Filter

Image processing is methodology to convert an image into digital form. The digital form of data is less complex and easy to interpolate and give an enhanced image or to extract some useful information from it. By this Images are often corrupted by impulse noise during acquisition and transmission. These noises affect the information which is present in the images. There are several algorithms t...

An Enhanced Median Filter for Removing Noise from MR Images

In this paper, a novel decision based median (DBM) filter for enhancing MR images has been proposed. The method is based on eliminating impulse noise from MR images. A median-based method to remove impulse noise from digital MR images has been developed. Each pixel is leveled from black to white like gray-level. The method is adjusted in order to decide whether the median operation can be appli...