Dissertation > Excellent graduate degree dissertation topics show

Digital Image Restoration Algorithm

Author: MengJun
Tutor: LiuYue
School: Guizhou University
Course: Power Electronics and Power Drives
Keywords: Digital Image Processing Image Degradation Image Filtering Image Restoration
CLC: TP391.41
Type: Master's thesis
Year: 2006
Downloads: 790
Quote: 3
Read: Download Dissertation


There are a lot of factors such as the phase difference of the optical system, the atmosphere turbulence, moving and the system noise that degrade the digital images during their obtaining . The destination of image restoration is to recover image that has been degraded and make sure that the processed image as near as possible to the original image. In general ,in order to recovering the degraded image we resort to filtering of image. In filtering of image , both demising and maintaining of the detail about the image is required. But in most cases demising of image conflicts with maintaining of detail in restoration processing .For the reason that mentioned above restoration of image is very challenge as a issue of digital image processing full of importance. Many problems attached to this specific issue call for better solutions that have not been provided at present.In this paper, several algorithms dealing with restoration of digital image are proposed and discussed based on some basic classic approach .By some improvement and combination operations these new algorithms can do better than some basic classic approach in work.In introduction to this paper, an overview of some advances in restoration of digital image is recounted at first, then the construction and the organization of this paper are listed.Chapter two touches on some basic concepts in relation to digital image processing especially restoration of digital image. These concepts including the area of digital image processing .A/D and quantization of analogue image, mathematical model of noise and some parameters about estimation of objective effect of restoration result of digital image as well.Chapter three mainly deals with image restoration in the spatial domain .At first, a model of image degradation and restoration is presented. In the followed part, some basic classic noise-reduction spatial filters are discussed briefly. In the last part, two filters are discussed in detail. The first is an adaptive filter used in situation of blended noise. The second is an all-direction-element-based weighted average filter.Chapter four is concerned mainly with digital image restoration method in transform domain, This chapter is divided into two self-contained sections oriented to filters based on Fourier transform and filters based on wavelet transform respectively. Inspired by the common minimum mean square error(Wiener) filtering and the constrained least squares filtering, a recursive blind recovery filter is derived in Fourier transform domain. Two other

Related Dissertations

  1. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  2. Research on Visual Servo System of Mechanical ARM,TP242.6
  3. The Gray Image Processes Techology of Sediment Core and Its Application on the High Resolution Sediment Record in Inner Shelf of the East China Sea,P736.21
  4. Design and Implementation of the Barcode Recognize System Based on Floating-point DSP TMS320C6713B,TP391.44
  5. Intelligent Real-time Subway Tunnel Deformation Monitoring System,TP274
  6. Color ring resistance identification system based on digital image processing technology development,TP391.41
  7. Research of Regularization Method Based on Regularizing Filter,O177
  8. Shadow Detection and Removal in a Single Digital Image,TP391.41
  9. Research and Application of Maize Leaf Disease Fuzzy Recognition Method Based on Image Characteristics,TP391.41
  10. Study and Research on Transform between Images and Vector,TP391.41
  11. The Split Bregman Method and Its Applications in Image Processing,TP391.41
  12. Reasearch on the Number Recognizing System for the Electricity Meter Based on Digital Image Processing,TP391.41
  13. Research and Optimization Design of the Remote Monitoring System,TP277
  14. Hardware Platform Design of Real-Time Image Processing System,TP391.41
  15. The application of a class of complex image target recognition and intelligent method,TP391.41
  16. The medical scan grayscale image noise removal mathematical morphology algorithm analysis,R318
  17. 3D Modeling Based on Reflectance Polarization Analysis,TP391.41
  18. Measurement of Root Architecture Parameters Based on Digital Image Processing,TP391.41
  19. The Design and Realization of Yellow Stem Borer Identification System Based on Neural Network,S126
  20. Estimation of Noise Level and Evaluation of Noise Removal Results,TP391.41
  21. Application and Research of Robot Vision System Based on DSP,TP242

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