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The Research Based on the Restoration Approach of Super-Resolution Distilled from Highway Video Monitoring

Author: LiBing
Tutor: WangGuoYu
School: Ocean University of China
Course: Electronics and Communication Engineering
Keywords: License Plate Recognition Super-resolution Video image Image registration
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 122
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Abstract


Since the beginning of the 21st century, intelligent transportation systems, and Vietnam (ITS) to more people of all ages, it has a wide range of applications in urban traffic intelligent scheduling systems, highways intelligent scheduling system. Vehicle detection system is an integral function of the road vehicle license plate recognition is an important part of the vehicle detection, can thus be seen to highway license plate recognition in traffic management in the possession of its important position. However, due to the highway video surveillance systems and vehicle farther apart, plus weather and other objective reasons, led to the interception of the image from the video is difficult to meet the requirements of direct highway license plate recognition, so, to get a better road license plate recognition image, the first thing to do is to improve the image quality, and then the license plate recognition, this will be a good recognition effect. Super-resolution video image recovery technology is an excellent way, the technology means through a certain method is to use a signal processing method, the deformed fuzzy noise, the spectrum aliasing multiple low-resolution degraded image fusion for a high-resolution image, while eliminating the additive noise generated by the sensor and optical components fuzzy video image resolution to break through a technology of the original restrictions. In this paper, the license plate in highway surveillance video image blurred, it is difficult to effectively identify the phenomenon, license plate image super-resolution recovery from the highway video surveillance technology to carry out the preliminary study of the application based on the analysis of the video Superresolution image processing methods. The main work of this paper are as follows: briefly study the background of the license plate recognition, to clarify the significance of this study, and from the point of view of practical application, this paper discusses the course of the development of the super-resolution video image restoration techniques and technical classification, analysis of existing defects and shortcomings of the method, on this basis, select a new algorithm, based on the non-uniform sampling within the the interpolation principle and after combined iterative projection algorithm first iteration factor through interpolation principle of non-uniform sampling, and then substituting backward iterative projection algorithm, then the output that most closely matches the constraints of the low-frequency component; optical flow method and block matching method are two common motion parameter estimation method analysis, its scope and limitations of the study .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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