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We present a method to remove salt-and-pepper noise for single images. The method consists of two stages, noise detection and noise removal. In the first stage, a detector identifies corrupted pixels; in the second stage, an algorithm employs a nonlinear isotropic diffusion to suppression noise, which diffusion is only for those corrupted pixels. We apply our method to a test set containing five images...
Small group people behavior analysis has attracted much attention in recent years. How to detect, track and analyze the group behavior of related people is a challenging problem. In this paper, a framework for small group people behavior analysis is proposed in video surveillance applications, which is based on temporal recursive trajectory identification. According to real applications, a specific...
This paper proposes a new approach for interpolating natural images. Unlike other conventional interpolation methods, we exploit the characteristics of an image and decompose it into a texture part and a non-texture (cartoon) part. In the non-texture part, we interpolate it with bicubic interpolation which performs well for smooth areas. We deal the texture part with peak transform based interpolation...
Community discovery is one of the most important steps to understand the social networks. We propose a hierarchical diffusion method to detect the community structure. Our algorithm is based on the idea that people in different communities usually share less common friends. We also make use of the fact that people usually make decisions based others'choices, especially their friends'. Our algorithm...
Edge is one of the most important characteristics of microcalcifications, edge detection of microcalcification clusters has a great significance in computer-aided diagnosis system for the automatic detection of clustered microcalcifications in digitized mammograms. A lot of algorithms have been suggested for extracting medical image edges, however, few of them are well suited for edge extraction of...
This paper aims to attain sparser representation of a 2-D signal by introducing orientation resolution as a second multiresolution besides multiscale, which is formulated to achieve a dual multiresolution decomposition framework by nonuniform directional frequency decompositions (NUDFB) under arbitrary scales. In this scheme, NUDFB is fulfilled by changing the topology structure of a non-symmetric...
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