Department of Electrical & Electronic Engineering The University of Hong Kong Pokfulam Road, HONG KONG * Email : [email protected] Email : [email protected] ** In this paper, a new Corrupted-Pixel-Identification (CPI) based estimation filter is presented. The method is especially useful for filtering clustered noise. After the corrupted pixels are identified by the CPI algorithm, the noisy ...

Department of Electrical & Electronic Engineering The University of Hong Kong Pokfulam Road, HONG KONG * Email : [email protected] Email : [email protected] ** In this paper, a new Corrupted-Pixel-Identification (CPI) based estimation filter is presented. The method is especially useful for filtering clustered noise. After the corrupted pixels are identified by the CPI algorithm, the noisy ...

Noise removal plays vital role in image processing and also important pre processing task before performing post operation like Image segmentation etc. . This paper presents a effective and efficient algorithm in order to remove impulse noise from gray scale and color images. Challenging results show the superior performance of the proposed filtering algorithm compared to the other standard alg...

Filtering out disturbances from transmitted or recovered measurement signals is one of the most important tasks of analog and digital signal processing for many decades. Removing of specific disturbances, having form of separate pulses (impulsive disturbances), requires specific algorithms because of very wide spectra of such pulses. The use of median procedures, especially of weighted medians,...

Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizin...

Digital images are often distorted by Impulse noise during the process of analog-to-digital conversion, transmission and storage in the physical medias. This type of error certainly changes the properties of some of the pixels while some of the other pixels remain unchanged. In order to remove impulse noise and enhance the distorted image quality, we have tested the number of nonlinear filters ...

In this paper, an adaptive motion vector smoothing scheme based on weighted vector median filtering is proposed in order to eliminate the motion outliers more effectively for improving the quality of side information in frame-based distributed video coding. We use a simple motion vector outlier reliability measure for each block in a motion compensated interpolated frame and apply weighted vect...

14 ERS-1 SAR images were classified using three different classification algorithms. Median filtering and principal component analysis were used in speckle reduction and feature extraction. Feature selection was performed using branch-and-bound algorithm. The best classification accuracy (55-60%) was achieved when principal component images computed from median filtered SAR images were used. In...