Dissertation > Excellent graduate degree dissertation topics show

Fuzzy image camera jitter based blind restoration implementation

Author: ZhouTongTong
Tutor: GuYaLin
School: Nanjing University of Technology and Engineering
Course: Signal and Information Processing
Keywords: motion deblurring blind deconvolution bilateral filter shock filter EMD
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 189
Quote: 0
Read: Download Dissertation

Abstract


In photography, shaking of camera or relative movement of objects usually cause image blurry. Usually, the image blurry is called motion blurring if it is caused by the relative movement of the imaging sensor to the scene. The camera-shake blur that is studied in this paper also belongs to this kind. Currently, as the digital technology has become more sophisticated, the weight of the hand-held digital camera becomes lighter and the size is smaller. Camera-shake will inevitably occur during pressing the camera shutter. Especially for mobile phone cameras, the probability of this happening is greater. Because camera-shake blur makes some valuable photos missing important information, people need to restore a clear image from the blurred image urgently, to obtain useful information. Therefore, it is useful and essential to study and develop an efficient and fast deblurring technology.By convention, camera-shake can be modeled as the sum of convolution of the pure image with a blur kernel and noise produced by the camera-shake. Therefore, deblur process is called image deconvolution. When the kernel is known, the image deconvolution is called non-blind deconvolution. If the kernel is unknown, it is called blind deconvolution. Generally, the path of camera-shake is random and unpredictable. In this case, the process to obtain a clear image is called blind image restoration, or blind deconvolution. This paper is focus on removing camera-shake from a single blurred image using blind restoration. First, we estimate kernel which is the difficulty during the process. Secondly, restoring a clear image based on the estimated kernel. The algorithm is divided into two steps in this article. The first step is estimating kernel. We perform estimation by varying image resolution in a coarse-to-fine manner. At one level, we use bilateral filter, shock filter and EMD to obtain an initial latent image. Then combining the blurred image, we can estimate the kernel. We use a spatial prior to guide the recovery of a coarse version of the latent image. The second step is to obtain the sharp image by the Richardson-Lucy Algorithm based on the estimated kernel. Blurred images are selected from Levin Photo Gallery. Through simulation, it is confirmed that the algorithm proposed in this paper can estimate the effective kernel and get a clear image.

Related Dissertations

  1. Test and Analysis of Electric Slides’ Comfortability Based on Cyclic Spectrum Density,TN911.7
  2. Image Super-resolution Reconstruction Based on MAP Method with Regularization,TP391.41
  3. Research on Color Image Super Resolution and Parallel Processing Technology,TP391.41
  4. The Research of Phishing Detection Technology Based on Nearest Neighbor and Similarity Measurement,TP393.08
  5. EMD-based medical image fusion algorithm,TP391.41
  6. A Study of GPS Dynamic Deformation Monitoring Data Processing Based on EMD and ICA,P228.4
  7. EMU bogie bearing reliability analysis and fault diagnosis technology research,U269
  8. Design and implementation of energy management systems based on EMD-BP neural network prediction model,TP315
  9. Single Image defogging,TP391.41
  10. Sparse representation of image-based steganographic algorithm,TP309
  11. Study on Hydrological Analysis of Low Water Lever Phenomenon in Poyang Lake and Response of Wetland Ecosystem,X171.1
  12. Study on Independent Component Analysis-Based Seismic Blind Deconvolution Method and Its Application,P631.4
  13. Research on Combination Model for Short-term Load Forecasting Based on EMD and GP Regression Theory,TM715
  14. Research and Implemente of Partial Discharge Location System,TM41
  15. Research on the Analysis for Low Frequency Oscillation in Power Systems,TM712
  16. ECG Denoising and QRS detection algorithm,TH772.2
  17. Study on Fault Feature Extraction of Gearbox Based on EMD,TH165.3
  18. Research of De-noise and Pattern-recognition in Partial Discharge Detection System,TP391.41
  19. Methods to Image and Video De-hazing,TP391.41
  20. Research on the Algorithm of Speeth Pitch Detection,TN912.3
  21. Inhibition of the end effect of EMD method,TN911.7

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