Dissertation > Excellent graduate degree dissertation topics show

Variation Image Denoising and Quality Assessment Based on Human Visual System

Author: QiGuoPing
Tutor: JiangSanPing
School: University of North
Course: Communication and Information System
Keywords: Image denoise peak signal-to-noise ratio structural similarity variationalmethod human visual characteristics diffusion model
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 46
Quote: 0
Read: Download Dissertation

Abstract


An image will be affected by noise in the process of the image generation andtransmission, this will affect the image visual effect. If the image’s basic characteristics canbe guaranteed completely, and further improve about the image visual effect will providebetter image data for subsequent calculation and digital image processing, it can bring greatconvenience about the use of the image.The main content of this paper is design image denoise and quality evaluation algorithmbased on the human visual characteristics, the main work and innovation as follows:Firstly, the human visual characteristics-fovea, contrast sensitivity, masking effect isdescribed. By this visual perception characteristics, the process of human visual perceptioncan be effectively simulated, furthermore, image denoise algorithms can be designed, this canprovide evidence for the subsequent image processing.Secondly, this paper describes the image quality assessment algorithms-PSNR (peaksignal-to-noise ratio),SSIM (structural similarity). Because the previous SSIM assumptionsdoes not be hold for small patches, meanwhile, when the variance of noise is significantcompared with the image patch, SSIM is in favor of the noise patterns rather than the imagestructures. In this paper, the SSIM evaluation algorithm is optimized and two-stage method isproposed. The improved algorithm based on SSIM reflects more similar characteristics to thehuman visual, it shows the superiority of the algorithm.Finally, in connection with the ladder phenomenon that existing in variational model,visual observation can be effected. This paper improve the variational model, a differentregularization of variational method is presented, so that the noise reduction effect is moreconsistent with human visual characteristics.In addition,because the PM diffusion model blurred the image edge, the diffusionfunction is improved and the gradient threshold is set,so that the edge and texture of theimage can be retained very well. The strength coefficient is added in the diffusion model,bothit can enhance the image details and can also have better visual effects in low contrast image.Using the optimized SSIM evaluation algorithm to evaluation the improved variationaldenoise model and compared with the ROF model, the results show that the denoise algorithmproposed in this paper have made a better denoise effect both at the contour edge and texture details.

Related Dissertations

  1. Study on Solids Diffusion and Combustion in the Dense-phase Zone of a CFB Boiler,TK229.6
  2. Image Enhancement Algorithm Research Based on Partial Differential Equations,TP391.41
  3. Based on the structural characteristics of human visual similarity image quality evaluation,TP391.41
  4. Based on structural similarity with the MTF image quality evaluation method,TP391.41
  5. Investment and Consumption of Jump-Diffusion Model under Time-Inconsistent Discount Assumption,F126.1;F832.48
  6. Study on Evaluation Methods of Jamming Effect on Synthetic Aperture Radar,TN974
  7. An Adjusted Binomial Model for Pricing Asian Options in Diffusion Models,F830.9
  8. Research on Image Hashing Technology for Authentication Based on Finite Ridgelet Transform,TP391.41
  9. Fuselage flutter model for topology optimization method,V215.34
  10. The Research on Image Enhancement Theory and Application Based on Human Visual Property,TP391.41
  11. Study of Partial Differential Equations in the Application of Remote Sensing Image Denoising and Classification,O175.2
  12. Research on Date Analysis System for Atmospheric Environment Monitoring of Liaoning Province,TP274
  13. Design Method Research for Stringer-type Cylindrical Fuselage Flutter Model,V216.24
  14. Downwind Diffusion Laws and Separation Distance of Odorous Pollutants from Large-scale Livestock and Poultry Farms,X512
  15. Term Structure of Credit Spread and Credit Spread Option Pricing Based on a Jump-diffusion Interest Rate Model,F275;F832.51
  16. Jump-diffusion model set of financial products broker pricing,F832.39
  17. A Study on Operation Modeling Innovation for China’s CSP on 3G Era,F626
  18. Edge of the image feature information extraction and quality assessment,TP391.41
  19. Research on Image Quality Assessment Based on Contourlet Transform,TP391.41
  20. Research of the Video Based Embedded Vehicle License Plate Recognition System,TP391.41
  21. Research on the Industrial Structural Convergence of West Coast of the Straits,F127

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