Dissertation > Excellent graduate degree dissertation topics show

Video sequences of electronic image stabilization technology

Author: LiFengShan
Tutor: HeKai
School: Tianjin University
Course: Signal and Information Processing
Keywords: Electronic image stabilization Motion vector Gaussian pyramid Affine transformation Video splicing
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 107
Quote: 3
Read: Download Dissertation

Abstract


Electronic Image Stabilization like a video sequence stabilization technology, because the technology has image stabilization, high precision, small size, light weight, low power consumption and low cost advantages, has been widely used in various fields. In this paper, electronic image stabilization technology in-depth analysis and research, and the actual shooting of the video processing, image stabilization and achieved good results. Electronic image stabilization system is composed image preprocessing, motion estimation and motion compensation of three parts. Wherein the image sequence estimation motion vector between the most critical, which directly determines the performance of electronic image stabilization. Paper commonly used for electronic image stabilization algorithm in-depth research, and currently used gray projection, the representative point matching bits matching algorithm is the basic principle of the in-depth study and discussion, and through simulation experiments comparing the advantages of the above methods shortcomings. Based on the analysis of existing electronic image stabilization algorithm based on the commonly used, focusing on the region of interest based on the Gaussian pyramid optical flow matching algorithm, and applied to the actual motion of the image sequence frames stable, the actual results achieved better . To ensure the effectiveness of the algorithm, the first region of interest to determine the video, and then sampled using Gaussian pyramid of image processing, the use of multi-resolution image layering technology to improve the computational speed. Optical flow based on ideology, determined using the error approximation neighboring frames affine transformation parameters, and use two-dimensional interpolation algorithm to compensate, to obtain a stable image sequence. As inter-frame motion compensation method is the impact of a stationary image sequence important factor to compensate for the direct use of the motion vector, the image would produce a sense of jumping, paper, mean filtering method to determine the compensation amount of each frame, to achieve the image smooth convergence of the sequence frames, improves the dynamic image sequence smooth. Finally, in order to restore the loss of image information in the sequence, the use of video splicing technology, using image information of adjacent frames reconstruction process, make up the loss of information, and image stabilization algorithm is an objective evaluation of the effects. Finally, the use of a video sequence to establish the VC image stabilization system of the original interface. Using the system of the imaging system to obtain a sequence of image stabilization, image sequence PSNR between the frames has a significant increase. Experimental results show that the algorithm of the actual video, translation, rotation, etc. affine transformation parameters can be accurately estimated, the actual video image stabilization has obvious effect.

Related Dissertations

  1. Research on Rotational Image Stabilization Algorithms for Electronic Image Stabilization System,TP391.41
  2. Moving target trajectory analysis based Intelligent Traffic Monitoring System,TP277
  3. Spatial Temporal Refinement on Depth Video Processing,TP391.41
  4. Array AOI system error correction algorithm design and implementation,TP274
  5. Or figure based on license plate detection and recognition,TP391.41
  6. Projection-based digital video stabilization technology,TP391.41
  7. Based on the DM6446 electronic image stabilization technology Research and Implementation,TP391.41
  8. Motion Object Detection Based on MPEG-4 Video,TP391.41
  9. Design of Electronic Stabilization System for Video Images Based on FPGA,TP391.41
  10. Lunar Soft-landing Vision Navigation and Descending Sequential Imagery Match Research,TP391.41
  11. Design and Implementation of System for Air-borne Electronic Image Stabilization,TP391.41
  12. Research on Electronic Image Stabilizing Technology Based on the Horizon,TP391.41
  13. Study on Video Mosaic for Large View,TP391.41
  14. Corner and edge feature - based image registration method,TP391.41
  15. Image Processing for Rotary Motion Blurred Degragations and Video Stabilization,TP391.41
  16. Research and Implementation of Block-pixel Based Fast Motion Estimation Algorithm,TN919.81
  17. Research on Electronic Image Stabilization under Rotating Movement,TP391.41
  18. Research on Vehicle Tracking Technology Based on Snake Model,TP391.41
  19. Digital Image Colorization Techniques Based on Clustering and Distance Transformation,TP391.41
  20. Research on Electric Image Stabilization Technique Based on Image Matching,TP391.41
  21. Study on the Algorithms of Example-based Color Transfer,TP391.41

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