This paper investigates the problem of single-channel noise reduction in the time domain. The objective is to find a lower dimensional filter that can yield a noise reduction performance as close as possible to or even better than that obtained by the full-rank solution. This is achieved in three steps. First, we transform the observation signal vector sequence, through a semi-orthogonal matrix...

An automated median filter-based ambiguity removal algorithm is used because of its simplicity and computational efficiency. The algorithm requires an initial wind field. Consequently the performance of the algorithm depends largely on the accuracy of the initial wind field compared to the true wind field. Usually, an initial wind field consisting of the highest ranked retrieved wind vectors is...

In Fig. 1 we show the content and style loss in training and test set. The training loss is post-processed with median filtering of window size 2000 and the test loss is computed every 2000 iterations. We did not observe much overfitting: the training and test loss trend are almost the same. We conjecture that the task is so difficult that the network with millions of parameters still underfit....

This paper compares filtering methods for automated breast ultrasound images. The Perona-Malik diffusion filter, the diffusion stick filter and a simple median filter are evaluated as preprocessing methods for segmentation and characterization of lesions in breast ultrasound. In particular, preservation of small relevant image features, edge enhancement characteristics, and computational costs ...

In this paper a novel approach to the impulsive noise removal in color images is presented. The proposed technique employs the switching scheme based on the impulse detection mechanism using the so called peer group concept. Compared to the vector median filter, the proposed technique consistently yields better results in suppressing both the random-valued and fixed-valued impulsive noise. The ...

A new impulsive noise removal filter, adaptive dynamically weighted median filter (ADWMF), is proposed. A popular method for removing impulsive noise is a median filter whereas the weighted median filter and center weighted median filter were also investigated. ADWMF is based on weighted median filter. In ADWMF, instead of fixed weights, weightages of the filter are dynamically assigned with th...

Abstract. Cloud free images are useful for applications where the user is more interested in the visual identification of variability of a phenomenon than in the actual values. The presence of clouds and their shadows hinder the visual interpretation in these applications. Median values in data sets are a better representation of the true value than the average when the data set is contaminated...

This paper presents a new cDNA microarray image segmentation framework. The framework uses robust vector median filtering to generate a root sigLnal which is an image obtained from the input by repeatedly filtering it until no more changes occur. During the convergence to the root signal, the framework classifies the cDNA image data as either microarray spots or image background, and ideally se...

Potato quality detection in China remains at the stage of dependent on human sense organ to identify and judge. According to the characteristics and requests of potatoes’ detection, The original image was disposed fast and smoothly by the median filtering, and based on the threshold segmentation by setting up the values of B(blue), the background was effectively wiped off. By analyzi...

In this study, a new speckle reduction method was proposed in terms of by Bidimensional Empirical Mode Decomposition (BEMD). In this method, the SAR image containing speckle noise was decomposed into a number of elementary components by using BEMD and then the extremal points are done the boundary equivalent extension after screening and the residual continue to be done the boundary equivalent ...