Dissertation > Excellent graduate degree dissertation topics show

Algorithm of Frame Rate Up-conversion

Author: ZhangLei
Tutor: Zhi
School: Shanghai Jiaotong University
Course: Communication and Information System
Keywords: frame rate up-conversion motion estimation motion compensation variable-size block image denoising Markov random field
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 135
Quote: 4
Read: Download Dissertation

Abstract


Frame rate up-conversion (FRUC), proposed in 1980s, aims at getting videos with higher temporal resolution. In FRUC, a series of video frames are produced and then inserted into the original video sequence. Rich original data and high correlation among neighboring frames in sequence images and videos makes it possible to implement FRUC. With the development of digital television (DTV), FRUC has been widely applied in all kinds of fields.Implementation of FRUC algorithm mainly includes two parts, motion estimation (ME) and motion compensation (MC). Motion estimation aims at getting the motion vector (MV) of each pixel in the current frame using motion information among neighboring frames. Motion vector filed is composed of all motion vectors. According to the motion information in the current frame, motion compensation provides an intermediate frame using estimated motion vectors. Accuracy of motion vectors and reasonability of motion compensation interpolation is critical to FRUC algorithm.This thesis proposes a novel frame rate up-conversion algorithm based on improved bilateral motion estimation. Edge-weighted motion estimation is firstly applied to get bilateral motion vectors with high precision and then multi-stage motion vectors refinement is adopted to get more credible motion vectors. Subsequently, we apply the weighted index-based bilateral motion compensated interpolation to produce an initial frame. Finally, a denoising filter is applied on the initial frame to correct unreliable pixels and smooth the image according to the high correlation among pixels in temporal and spatial domain.Experimental results show that the proposed algorithm effectively solves the problem of overlap and hole, improves the accuracy of motion vector and suppresses the interpolation noises and motion compensation errors. Compared to the conventional algorithm, the proposed algorithm provides better subjective and objective quality.

Related Dissertations

  1. Optimizing and Realising Research on Vedio Compression in TV Guidance System,TN919.81
  2. Research on Methods of Medical Ultrasound Image Denoising,TP391.41
  3. Based on statistical methods of magnetic resonance imaging of the human brain image segmentation and three-dimensional analysis of the data,R445.2
  4. The Design and Implementation of the Single-chip MPEG2 Video Encoder,TN919.81
  5. Research on Contourlet Transform and Its Application on Image Processing,TP391.41
  6. Research on Medical Image Segmentation Method Based on Markov Random Field Model,TP391.41
  7. Research of Obstacle Detection Algorithm Based on Combination of Motion Compensation and Feature Information,TP391.41
  8. The Wrist Structure and Kinematics Analysis of a 6 DOF Robot,TP242
  9. Moving Objects Detection and Tracking Using Fisheye Camera,TP391.41
  10. Research on the Technique of the Side Information in Distributed Video Coding,TN919.81
  11. The Implementation and Optimization of Symbian’s H.264 Decoder Based on the FFmpeg,TN919.81
  12. Autofocus of Remote Sensing Camera Based on Image Registration,TP391.41
  13. Forward Image Motion Compensation Control System of Airborne Digital Camera,V245.6
  14. Minicomputer contains three-dimensional imaging laser radar system is a key technology research,TN958.98
  15. Scenario-based non- uniformity correction,TN215
  16. Projection-based digital video stabilization technology,TP391.41
  17. OpenCV-based digital image stabilization system to achieve,TP391.41
  18. Research on Frame Rate up Conversion Based on Symmetrical Motion Compensation Interpolation,TN919.81
  19. Optimization on Motion Estimation Algorithms and Research on Entropy Coding Based on H.264,TN919.81
  20. Research on Rotational Image Stabilization Algorithms for Electronic Image Stabilization System,TP391.41
  21. Fog environment image enhancement method,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