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This paper proposes a novel method of fusing different matching cost for dense depth map recovery in a global optimization framework. Two simple classical cost functions, NCC and SAD, are combined to make a complementary costs fusion, which is robust against noises and weak radiometric difference. We address complicated difficulties as texture-less region and occlusion in a multi-view energy based...
Successive Interference Cancellation (SIC) is a well-known technique for enhancing wireless channel efficiency by allowing concurrent transmissions from multiple users. This multiuser detection technique is usually used in cellular systems. In this paper we adapt it to Radio-over-Fiber (RoF) system for the same purpose. Due to the similarity to using SIC in typical cellular networks, we mainly focus...
Filtering is an essential step to image processing, at present, a lot of filtering algorithm will damage the detail information of an image when they were used to remove noise that distribute over the image, in such circumstances, attaining an ideal effect is very difficult. The improved filtering algorithm based on gray correlation degree makes use of gray correlation analysis to find out random...
Appearance variation is a big challenge for object tracking. To deal with this problem, we propose a robust tracking method by online appearance modeling and sparse representation. In this method, we use the intensity matrix of image to represent the object, and learn a low dimensional subspace online to model the object appearance variations during tracking. Then applying the recent theory of sparse...
Speckle and low contrast can cause image degradation, which reduces the detectability of targets and impedes further investigation of synthetic aperture radar (SAR) images. This paper presents an adaptive enhancement method with speckle reduction for SAR images using mirror-extended curve let (ME-curve let) transform and particle swarm optimization (PSO). First, an improved enhancement function is...
In this paper, the data acquisition system and the upper machine software are used to get and analyze acoustic emission signals from tomatoes plant with disease and water stress. Through statistical analysis of acoustic emission signals parameters, we proposed a mathematical model and proved its rationality. Considering the influence of noise, ultrasonic acoustic emission signals is concerned and...
Magnetic resonance spectroscopic imaging has been recognized for a long time as a powerful tool for biochemical imaging. However, its practical utility is still rather limited due to poor spatial resolution, low signal-to-noise ratio, and long data acquisition times. In this work, we propose a new technique that enables reconstruction of metabolite maps with high spatial resolution. This technique...
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