Dissertation > Excellent graduate degree dissertation topics show

Digital Video Image Stabilization System Based on Block Matching

Author: SongLiYa
Tutor: YinFuLiang; Chen
School: Dalian University of Technology
Course: Signal and Information Processing
Keywords: Digital Video Image Stabilization Motion Estimation Block Matching Kalman Filter
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 54
Quote: 0
Read: Download Dissertation

Abstract


About80%of the information Human obtained is from their own visual system. Visual digital media technology has broken physical limits of real life, making the use of digital media information effectively, in protable applications, there can be some motion in image collection system, making images blurred. Hence a digital video image stabilization is needed to improve its quality.According to the difference of hardware equipment, technical means and working principle, image stabilization technology is divided into three categories:mechanical image stabilization technology, optical image stabilization technology and electronic image stabilization technology, a digital video image stabilization, aided by computer, takes advantage of image processing algorithms, in motion estimation of dynamic video image frame and determination of random motion for a more stable video series. This technology has the merit of high accuracy and speed. The main purpose of this thesis is to study and to achieve the digital video image stabilization system, focus on the block matching algorithm in motion estimation module, gray projection algorithm and feature corner algorithm and put forward a new improved algorithm based on full search block matching method. In motion compensation module, Kalman filtering, curve fitting, low-pass filtering are studied, and finally real-time Kalman filtering is selected as the motion compensation module to reduce the shake of the video, and then a self-adaptive Kalman filter is put forward on this basis.Three basic and an improved digital video stabilization system are implemented by using VC++, and then tested by three videos in different three movement mode. From the sense of timeliness, the results show that gray projection algorithm is the fastest, followed by block matching algorithm, while feature corner algorithm is the last one. The new algorithm based on block matching can reduce the calculation time by15%-30%. In addition, the improved self-adaptive motion compensation module get a better motion tracking compared compared with the original Kalman filter.

Related Dissertations

  1. Algorithm Research on SINS/GPS Integrated Navigation Syste,V249.328
  2. Satellite Attitude Determination Based on Gyro and Star Sensor,V448.2
  3. Research on Transfer Alignment of the Missile Onboard the Aircraft,V249.322
  4. Maneuver Detection and Tracking with the Radar Rate Measurement,TN953
  5. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  6. Research on Rotational Image Stabilization Algorithms for Electronic Image Stabilization System,TP391.41
  7. Research on Visual Detection and Tracking of Mobile Robots,TP242.62
  8. Design of Gyro Stabilized Pod Control System,TP273
  9. Direct Torque Control of Winding Induction Motor,TM343
  10. Time Delay Estimation in Distributed Optical Fiber Sensing and Positioning System,TN95
  11. Research and Application on Detection and Tracking of Object Based on Video Stream,TP391.41
  12. Research of Channel Estimation Based on Pilot for MIMO-OFDM System,TN919.3
  13. Research of Positioning Algorithm Based on Cellular System,TN929.53
  14. Research on Method of Target Detection and Tracking in Video,TP391.41
  15. Research on Key Techniques of Indoor Wireless Sensor Network Tracking,TN929.5
  16. Research on Fast Motion Estimation for Video Coding,TN919.81
  17. Research on Tracking of Maneuvering Spatial Target,V556.8
  18. Research and Implement on Video Traking Technology Based on Kalman Filter,TP391.41
  19. The Research on Application of Multi-sensor Information Fusion in Target Locatiing of Mobile Robots,TP242
  20. Research on Fault Diagnosis of Integrated Navigation System Based on IMM Algorithm,V249.328
  21. Design and Implementation of Wireless Sensor Network Monitoring System Based on Data Fusion,TN929.5;TP277

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile