Dissertation > Excellent graduate degree dissertation topics show

Research of Underwater Image Restoration Algorithm Based on Backward Scattering Noise Model

Author: MaTian
Tutor: WangGuoYu
School: Ocean University of China
Course: Signal and Information Processing
Keywords: Image Restoration Point spread function Backscattering noise Wiener filter
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 98
Quote: 0
Read: Download Dissertation

Abstract


The original image in the acquisition, storage and transmission process , due to various factors , such that the final acquired image inevitably exist in the problem of image degradation will directly affect the subsequent image , and if not a suitable detection assessment and recovery processing , processing chain . The ocean is an important area of human survival and development , the underwater images is becoming the people important research fields and directions . Decline of water quality of image restoration processing to maximize restore the original image , you can get a lot of important information . However, due to the complexity of underwater imaging process , so how can we try to accurately recover the image has become an important research topic . Underwater images often serious distortion due to the complicated underwater imaging system imaging characteristics , the absorption of water will lead to reach the light attenuation of the object , the scattering effect of the water will, in turn, the entire imaging rendered atomizing effect . Where water scattering include forward scattering and backscattering specific performance of the imaging system point spread function and additive noise . The scattering of water is the most important factor causing image degradation . And as the shooting distance increases , the screen contrast is reduced underwater optical imaging also makes it very difficult . Underwater digital image recovery technology is to solve such problems , through the use of different methods of recovery , water down the quality of the image obtained the greatest degree of recovery effect . The spirit of the principle of general-purpose and real-time digital image restoration problems detailed analysis , comparative study of several methods of image restoration Wiener filtering for one of the underwater image restoration method . Analyzed the imaging principle of underwater images and light scattering effect of image degradation , and for the special imaging mechanism of underwater images , set in connection with the physical model of the underwater image degradation system applicable to this model system and detailed analysis of system transfer function and the scattering characteristics of the noise , deduced the corresponding formula , and in accordance with the principles of the Wiener filter to determine the filter parameters , this deteriorated image restoration processing . The experiments show that this method can restore the image detail , and therefore has some innovative and feasibility .

Related Dissertations

  1. Research on Learning-Based Low-Level Vision Problem,TP391.41
  2. Image Restoration Method Research and Its Application Based on Probability PCA,TP391.41
  3. Based on public safety characteristics of millimeter-wave radiation image,TP391.41
  4. Of speckle noise removal in medical ultrasound image,TP391.41
  5. Research and Implementation of Algorithm for Restoration of Motion Blurred Images,TP391.41
  6. Common types blurred image restoration Research and Implementation,TP391.41
  7. Weak signal detection mechanism of stochastic resonance network model and its application,TN911.23
  8. Study on the Algorithms of Adaptive Optical Images Restoration,TP391.41
  9. The Fast Method for DOA Estimation of Wideband Signals and Its Implementation on DSP,TN911.7
  10. The Frontend Noise Reduce of Isolated Word Speech Recognition,TN912.34
  11. The Study on Image Processing and Faults Location of Transmission Line Based on Aerial Image,TM76;TM755
  12. Sparse angle and low-dose CT image reconstruction algorithm,TP391.41
  13. Research of Regularization Method Based on Regularizing Filter,O177
  14. Blind Image Restoration of Motion-blurred Images,TP391.41
  15. Motion blurred image restoration algorithm,TP391.41
  16. Research and Application of Digital Image De-noising Algorithm,TP391.41
  17. Ultrasonic Testing of Image Restoration Techniques Based on Independent Component Analysis Theory,TP391.41
  18. Research on Restoration of Images Collected by Reconnaissance System in Near-Space,TP391.41
  19. A Video Inpainting Method Based on K-Dimension Tree Structure and Approximate Nearest Matching in Time-spatial Space,TP391.41
  20. Several Methods of Image Restoration,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