This paper deals with median filtering techniques suitable for digital color images. Median filters have successfully been used in gray scale imaging to remove impulsive noise but their extension to color images is not direct. The main difficulty is that an order has to be defined to sort the color vectors. In this paper, we selected four classical different and well established approaches prop...

An undersampled acquisition geometry and a limited recording aperture often produces migration noise (i.e., acquisition footprint) that blurs the subsurface reflectivity image. Here, we develop a prestack migration deconvolution (MD) filter that deblurs the migration image. The MD filter is applied to 3-D prestack SEG/EAGE salt data as well as 3-D marine data from Alaska. Results show that MD c...

A local filter which uses the local-intensity subrange of tinuities in mean intensity4, range filters will detect pixel intensity values within a window is described. edges. This paper investigates the effectiveness of The range filter is an extension of the rank filter and has these filters for this task. been found useful for detecting edges. The deterThe local subrange is calculated by order...

This paper presents a new cost-effective, adaptive multichannel filter taking advantage of switching schemes, robust order-statistic theory and approximation of the multivariate dispersion. Introducing the statistical control of the switching between the vector median and the identity operation, the developed filter enhances the detail-preserving capability of the standard vector median filter....

This paper proposes a fast and effective image interpolation algorithm using median filter. The interpolation algorithm is composed of two steps. First, a non-linear iterative procedure is utilized to interpolate the pixel whose direction can be easily determined by local information. Second, according to the introduced assumption that image interpolation can be regarded as a local image filter...

In response to the flaw that the median filtering algorithm has a poor handling capacity to high-density and fine texture noise, a Dynamic window-based adaptive median filter algorithm is proposed. According to the associated level between noise-point information and the surrounding, the new algorithm adjust, the Noise point filter value, which can get a better deal with the details of the imag...

Introduction. The geometric median is a classic robust estimator of centrality for data in Euclidean spaces, and it has been generalized in analytical manifold in [1]. Recently, an intrinsic Riemannian framework for Orientation Distribution Function (ODF) was proposed for the calculation in ODF field [2]. In this work, we prove the unique existence of the Riemannian median in ODF space. Then we...

To effectively detect the camouflaged target in the complex background, the target detection method based on 3D convexity is proposed in this article. This method uses a new operator which can fully utilize the representative image gray level represented by the convexity structure of the target, set up appropriate threshold to eliminate the influence of the background noise by the median filter...