Dissertation > Excellent graduate degree dissertation topics show

The Research on Digital Image Inpainting Algorithm Based on Texture Synthesis

Author: LiHui
Tutor: ZuoChangAn
School: Xinyang Normal University
Course: Applied Mathematics
Keywords: texture synthesis digital image inpainting algorithm priority
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 121
Quote: 0
Read: Download Dissertation

Abstract


Digital image inpainting mainly covers a process of filling in missing pixels in an unknown region with known image information, by which the inpainted image which had ever been damaged or inpainted could not be recognized in a visually plausible way at the most. And it is also one of the important research fields in computer graphics, computer vision and image processing. It has an extensive prospect in artistic works inpainting, rapid transmission of network data, computer animation, movie stunt, dummy reality.Currently, the primary methods of image inpainting include two kinds of image inpainting algorithms. One is analyzing image features based on PDE(partial differential equation).This paper does a deep research on both theory and practice of this algorithm, also as the theoretical basis for later ones. Another image inpainting algorithm is based on Texture Synthesis. This paper is to put forward improved algorithms based on previous research of AIEI (Alonglsophotes Exemplar based Inpainting) and CIEI (CrossIsophotes Exemplar based Inpainting) algorithm to improve the performance of the image restored.On the basis of texture synthesis, this thesis carries out some researches on image inpainting respectively. Differing from the traditional based on transform coding, image inpainting method is applied to image compression and a novel scheme of compression based on edge information is proposed. In encoding, it is only encoding edge extension image, and the unimportant flatting image region is not encoded or memorized, so that it could create a large area of blank domains where the image information has been wiped out, and thus a high compression rate is achieved. In decoding, an image inpainting method is applied to reconstruct the flatting image region. Experiment results show that with this scheme proposed. one can get a good quality of reconstructed image in less image information.At last, based on the theoretical analysis, lots of numeric experiments are performed, and the experimental results verify the improvements of the proposed algorithm.

Related Dissertations

  1. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  2. Video Coding Research Based on Texture Characteristics,TP391.41
  3. Research on Visual Servo System of Mechanical ARM,TP242.6
  4. Application Research of Digital Image Processing on Container Inspection,TP274.4
  5. Research of Anomaly Detection Algorithms of Hyperspectral Imagery Based on Kernel Method,TP751
  6. Study on the Distribution Pattern and Priority Areas of Endangered Terrestrial Animals in Jiangsu Province,Q948.2
  7. The Research on Texture Synthesis Technology from Cloud Theory & Been Evolution Genetic Algorithm,TP391.41
  8. Texture Synthesis Algorithm Based on Samples,TP391.41
  9. The Developing of Cotton "Three Wire" Automatic Removing System Based on CCD Detection Technology,TP391.41
  10. Research of Data Storing Solution Based on Color Digital Image Processing Technology,TP391.41
  11. Research on QoS-guaranteed Medium Access ControlMechanism for WLAN,TN925.93
  12. Optimization and Experimental Study of Image Correlation Algorithm,TP391.41
  13. Study on Displacement Monitoring System for Tunnel Vault Based on Digital Image Processing,TP391.41
  14. Research of Light Image Distortion Based on Headlamp Tester,TP391.41
  15. The image -based face recognition system design and implementation beautification,TP391.41
  16. ARM9-based embedded image processing platform for the design and application,TP391.41
  17. Link Aggregation of asymmetric exchange scheduling algorithm,TP301.6
  18. Phased array radar adaptive scheduling algorithm,TN958.92
  19. Research on the Key Technology in Distributed Computing System,TP393.09
  20. Flow Behavior Description of Two-Phase Flow Based on Image Processing Techniques,TP391.41
  21. Based on digital image processing algorithms and more soft-core parallel processing,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