Dissertation > Excellent graduate degree dissertation topics show

Variational model for image restoration Split-Bregman algorithm

Author: ZhouJiSheng
Tutor: PanZhenKuan
School: Qingdao University
Course: Applied Computer Technology
Keywords: Round like repair Variational model Split Bregman algorithm Color images coupling
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 60
Quote: 0
Read: Download Dissertation

Abstract


Digital image repair technology is one of the important research in the field of digital image processing is one of the hot research field of machine vision and computer graphics , a wide range of applications , has a pivotal position in the field of image processing . Image restoration is to fill in the missing information in the image according to the information of the damaged image around , including replacement of damaged areas , repair obstructions want to get the image , eliminate nicks on the image . And repair two research direction is the structure image restoration and texture synthesis , this paper is mainly to partial differential equations of image processing as the core of the study and discussion of the principles, methods , and applications of image restoration . Before image restoration algorithm efficiency is low , slow computing speed , in recent years a new the algorithm Split Bregman fast algorithm to obtain a wide range of research and application . This article focuses on the classical partial differential equations in image restoration and research , and design to discuss the the Split Bregman fast algorithm . The main work and innovations include the following aspects : First, this article -depth study of the current image of several repair mathematical model and repair algorithm , more in-depth analysis and discussion of the advantages and disadvantages of these types of repair model . Second, this article will SplitBregman fast algorithm is added to the classic model of image restoration , observe the speed of operation and the calculation results comparison . This article Split Bregman algorithm applied to several color images coupled processing model to a comparative analysis of their results . In summary , this paper, digital image restoration techniques in-depth research , made ??some valuable research . Digital image restoration is still more potential research areas , it is worth us to conduct more in-depth research .

Related Dissertations

  1. The surface geometry noise removal of non- local variational model,TP391.41
  2. Non-ideal conditions, face recognition algorithm,TP391.41
  3. The Experienceof 48free Scapular (Parascapular) Flaps Transplantation and the Comparisonamong the Three Different Vascular Anastomoses Methods,R622
  4. PDE-based image smoothing and enhancement algorithm,TP391.41
  5. PDE-based method of image to enlarge,TP391.41
  6. Image Denoising Based on Hybrid Variation Model,TP391.41
  7. Research of PET and CT Cross-modality Medical Image Fusion in Radiotherapy,TP391.41
  8. Image denoising algorithm,TP391.41
  9. Active Contours Methods in Image Segmentation,TP391.41
  10. Variational Level Set Models for Image Segmentation,TP391.41
  11. A Computer-assisted Diagnosis Oriented Research on Image Process and Analysis of Capsule Endoscopy,TP391.41
  12. Electromagnetic elastic material dynamic generalized variational model and its application,O441.6
  13. Research and Application on Digital Image Inpainting,TP391.41
  14. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  15. Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
  16. Research of High Speed Image Pre-processing System Based on FPGA,TP391.41
  17. Research on Algorithms of 2D Face Template Protection,TP391.41
  18. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  19. Research of Image Mosaic Technology,TP391.41
  20. Research and Implementation of Exact String Matchiing Algorithms,TP391.41
  21. Research on the Classification Based on the Reconstruction of Solder Joint,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