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In this paper, we put forward a novel method in single image detail enhancement — residual homogeneity (RH). Residual homogeneity is a statistic result when we test different kinds of blocks in database, finding that blocks in residual images are with similar structure, that is, they are homogenous. Based on residual homogeneity, we make a simple assumption that detail layer of a single image is residual...
To overcome the deterioration of azimuth resolution caused by errors of monopulse response curve (MRC) in practical processing, this paper proposes an auto-focusing algorithm for monopulse imaging technique. By applying iterative steps, this algorithm automatically extracts the echo signals of isolated strong scatterers from the received data, and employs them to accurately estimate the actual MRC...
In this paper, we propose a new guided depth upsampling method denoted as Robust Weighted Least Squares (RWLS). Our work is inspired by the connection between the Weighted Least Squares (WLS) and the Auto Regressive (AR) model. By adopting a new robust penalty function to model the smoothness of the proposed model, we show that the proposed method performs much better in preserving sharp depth discontinuities...
Foreground object extraction, which aims to accurately separate a foreground object from its background in still images, plays an important role in many computer vision applications. An interactive object extraction method by extending the graph cut approach is presented in this paper. The coarse-to-fine object segmentation method makes it efficiently to specify the main object and adjust the detail...
An improved method based on the technology of laser scanning is introduced in this paper for protrusion value measurement of working element of impregnated diamond bit. The morphology of impregnated diamond bit crown with the size of 40/65 mesh is scanned and measured by the Coordinate Measuring Machine (CMM) which is built based on the principle of triangle measurement. Due to the automatic image...
In this paper, we present a novel approach for human activities recognition in the video. We analyze human activities in the sequential frames because human activities can be considered as a temporal object which contains a series of frames. Firstly, we establish a statistical background model and extract foreground object through background subtraction in the video stream. Then, we use foreground...
Efficient visualization of large volumetric data is a challenge for image processing community. In this paper, we present a novel volume rendering algorithm based on the concept of fractal. It consists of dividing the volumetric data set into sub-blocks, calculating the 3D fractal coefficients of each sub-block, projecting them to 2D image plane, and generating sub-images through 2D inverse fractal...
Visual surveillance using a camera network has imposed new challenges to camera calibration. An essential problem is that a large number of cameras may not have a common field of view or even be synchronized well. We propose to use a hybrid camera network that consists of catadioptric and perspective cameras for a visual surveillance task. The relations between multiple views of a scene captured from...
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