Median filtering is a commonly used technique in image processing. The main problem of the median filter is its high computational cost (for sorting N pixels, the temporal complexity is O(N·log N), even with the most efficient sorting algorithms). When the median filter must be carried out in real time, the software implementation in general-purpose processors does not usually give good results...

Introduction: The accuracy of analyzing Functional MRI (fMRI) data is usually decreases in the presence of noise and artifact sources. A common solution in for analyzing fMRI data having high noise is to use suitable preprocessing methods with the aim of data denoising. Some effects of preprocessing methods on the parametric methods such as general linear model (GLM) have previously been evalua...

This study assessed whether the use of digital image filters influences detection temporomandibular joint (TMJ) bone changes on cone beam computed tomography (CBCT). Two radiologists evaluated TMJ images CBCT scans to verify presence osteophytes, erosions, pseudocysts, sclerosis and flattening, using software XoranCAT®; each was with without following filters: Angio Sharpen 3x3 5x5. Kruskal-Wal...

The present study was undertaken to develop a modified texture analysis algorithm based on the properties of texture spectrum (TS) domain for the satellite images. In texture analysis some specific spatial filters are required, which can transform the image based on the textural features instead of changing the spectral properties; the image is thus characterized by its texture spectrum. This p...

This study presents a comprehensive evaluation of the most frequently used non-adaptive and adaptive Synthetic Aperture Radar (SAR) filtering techniques called; Mean, Median, Lee, Lee-sigma, Local Region, Frost and GammaMAP. Envisat ASAR Precision Image (PI) mode data acquired on August 2008 is used to examine the filtering techniques. Three test sites (~ 4 km), located in Karacabey of Bursa in...

This paper presents a Laplacian-based image filtering method. Using a local noise estimator function in an energy functional minimizing scheme we show that Laplacian that has been known as an edge detection function can be used for noise removal applications. The algorithm can be implemented on a 3x3 window and easily tuned by number of iterations. Image denoising is simplified to the reduction...