Noise reduction in images, also known as image smoothing, is an essential and rst step before further processings are done on the image. The key to image smoothing is to preserve important features while removing noise from the image. Gaussian function is widely used in image smoothing. Recently it has been reported that exponential functions (value of the exponent is not equal to 2) perform su...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Texture image analysis is one of the most important working realms of image processing in medical sciences and industry. Up to present, different approaches have been proposed for segmentation of texture images. In this paper, we offered unsupervised texture image segmentation based on Markov Random Field (MRF) model. First, we used Gabor filter with different parameters’ (frequency, orientatio...

Gaussian filters are widely used for image smoothing but it is well known that this type of filters blur the image features (e.g., edges). Anisotropic filtering draws more and more attention for its ability of featurepreserving smoothing. However, most existing anisotropic filters are quite time-consuming. In this report I will discuss the combination of anisotropic filtering and recursive impl...

texture image analysis is one of the most important working realms of imageprocessing in medical sciences and industry. up to present, different approacheshave been proposed for segmentation of texture images. in this paper, we offeredunsupervised texture image segmentation based on markov random field (mrf)model. first, we used gabor filter with different parameters’ (frequency,orientation) va...

Image smoothing is a fundamental low-level vision task that aims to preserve salient structures of an image while removing insignificant details. Deep learning has been explored in deal with the complex entanglement semantic and trivial However, current methods neglect two important facts smoothing: 1) naive pixel-level regression supervised by limited number high-quality ground-truth could lea...