公共安全图像与视频一键式质量增强与运动分析一键式质量增强与校正技术

摘要由于复杂环境和成像系统的客观条件限制，公共安全图像与视频存在模糊、噪声、色彩失真等问题。本论文研究图像与视频的一键式质量增强技术，主要工作为： 1) 针对经典图像颜色增强缺乏图像局部区域自适应的不足，设计和实现了一个局部自适应颜色增强算法，实验结果优于传统全局性算法；2) 针对镜头失真的图像与视频，设计和实现了单参数的镜头失真校正算法。通过建立径向失真的数学模型和失真参数取值的自动估计，达到失真图像的几何校正；3) 设计了基于光流的感兴趣目标同步跟踪与放大算法，并用质心算法对监控区域进行运动补偿，提高跟踪精度，实验验证了算法有效性；4) 完成了算法的插件式开发与集成。集成软件按照一键式处理原则，完成了算法参数自适应和算法的多线程处理，提高了软件一键式处理能力，软件运行正常。   37878
毕业论文关键词质量增强一键式插件式开发失真校正
Title   The one-key quality enhancement and motion analysis for Public security image and video :one-key quality enhancement and correction techniques
Abstract Due to the limitation of complex environment and the objective conditions of imaging system,image and video are affected by fuzzy、noise、color distortion and so on in public security.This paper investigates the one-key quality enhancing techniques for low-quality image and video.The main contributions are as follows: Firstly,we design and complete an local self-adapting color enhance algorithm. Experimental shows that this algorithm peforms better than global algorithm. Secondly,we design and complete an one-parameter lens distortion correction algorithm.we use this algorithm to correct lens distortion in image and video. In order to complete this algorithm,we establish a mathematic model for radial distortion.Automatic estimation is performed for parmeter. Thirdly,we design an algorithm wto track and agnificate the interested objects synchronously.This algorithm is base on optical flow. Motion compensation is performed in the interested region use centroid algorithm.Experimental results show that effectiveness of the algorithm. Fourthly,we complete the pluggable development and integration of algorithms. The integrated software is designed as the idea of one-key process.we can call the function in plugin through the software.
Keywords    quality enhancement    one-key     plug-in development distortion correction
目次
1引言1
1.1图像与视频增强技术的研究和发展现状.1
1.2插件技术的研究和发展现状.2
1.3本文的研究工作及章节安排.4
2图像滤波与几何校正的基本算法5
2.1滤波算法.5
2.2插值算法.7
2.3几何校正算法.9
2.4本章小结.11
3单参数的镜头失真校正算法12
3.1镜头失真校正数学模型与校正算法框架.12
3.2单参数的镜头失真校正算法.14
3.3实验结果分析.16
3.4本章小结.17
4图像与视频局部自适应颜色增强与去雾算法18
4.1图像与视频局部自适应颜色增强算法.18
4.2基于暗原色的图像与视频去雾算法.21
4.3本章小结.25
5基于光流的感兴趣目标同步跟踪与放大27
5.1基于光流的目标跟踪的基本原理.27
5.2基于光流的感兴趣目标同步跟踪与放大.29
5.3实验结果与分析.33
5.4本章小结.36
6基于插件的一键式图像与视频质量提升软件37
6.1软件功能.37
6.2软件框架.38
6.3基于多线程和参数自适应处理的一键式处理39
6.4系统运行演示43
6.5本章小结.47
结论48
致谢49 公共安全图像与视频一键式质量增强与运动分析一键式质量增强与校正技术:http://www.youerw.com/jisuanji/lunwen_36744.html