Dissertation > Excellent graduate degree dissertation topics show

Image Quality Assessment Integrating with Multiple Regression and Structural Similarity Algorithm

Author: WuShuang
Tutor: WangZhengYou
School: Jiangxi University of Finance
Course: Computer Software and Theory
Keywords: Image Quality Assessment SSIM Multiple Regression Analysis Gradient Information
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 40
Quote: 0
Read: Download Dissertation

Abstract


Image quality assessment becomes one important research of image information engineering field. Subjective method is laborious and time-consuming so that it hard to apply into real-time systems, while traditional objective method is simple but its result often inconsistent with human perception, such as PSNR or MSE. Structural similarity index theory is an novel idea of quality assessment, and simulates the whole function of HVS from top to down, namely the function is HVS extracts structure information from visual scenes, different from the idea that bottom-up simulating the low-level structure of HVS.Structural similarity index Algorithm is easy to realize, avoiding some defects existing in bottom-up method, and superior to other existing methods.Although SSIM is superior to many other methods, it has a few defects. This paper proposes a new algorithm that image gradient information is added into SSIM as a new component. Human eyes are extremely sensitive to image edge and texture information, while gradient can reflect these information well.The algorithm has good performance in blur images, besides other types distorted images. And the results are better consistent with human perception.In the case of single but fixed weights of SSIM components, this paper puts forward an idea that SSIM algorithm integrated with multiple regression analysis, specifically, weights of all the components would be adjusted through regression analysis. It shows each component is of unequal importance in distorted image quality assessment, and also improves accuracy of SSIM algorithm applied to different distortion type of image quality assessment. The experimental results match subjective perception well.Through extensive experiments on LIVE database, methods proposed this paper are superior to traditional objective methods in correlation coefficient after nonlinear regression(CC), Spearman rank correlation coefficient(SROCC), and outliner ratio(OR), much improved comparing to some other SSIM improved algorithm, and effectively increased the consistency of subjective and objective in image quality assessment.

Related Dissertations

  1. Research on NO-reference Image Quality Assessment Based on HVS,TP391.41
  2. Research the Most Important Influencing Factor in a Subjective Evaluation about the Acoustic Environment in Concert Hall,TU112
  3. Distortion effects on image quality evaluation and classification,TP391.41
  4. Image Quality Evaluation Based on HVS research,TP391.41
  5. Electronic passport quality assessment system,TP391.41
  6. Based on the structural characteristics of human visual similarity image quality evaluation,TP391.41
  7. Based on structural similarity with the MTF image quality evaluation method,TP391.41
  8. Factors affecting logistics network location Empirical Study,F224
  9. Hypercomplex sparse representation and its applications,TP391.41
  10. Research on Geochemical Background and Flux for Cadmium, Mercury and Lead in Soil Environment in the Piedmont Region of Taihang Mountain,X53
  11. An Empirical Analysis of Life Insurance Demand in Jilin Province,F842.6
  12. Astudy on Influence of Transportation on County Economy in Hubei Province,F127;F224
  13. Study on Passenger Car Form Perception Design Support Technology,U462
  14. Research and Application of Beamforming Technology Based-on Improved Genetic Algorithm,TP18
  15. Research on Image Quality Assessment Based on Subjective Perception,TP391.41
  16. Research and Implementation of Quality Assessment for Stereoscopic Images,TP391.41
  17. Research on the Financing Efficiency of High-tech Small and Medium Enterprises,F275
  18. An Image Quality Synthetic Evaluation Method Based on Image Space Multi-Channel Similar Decomposition,TP391.41
  19. Copper Indurstry and the Factor Analysis of Copper Price,F713.35;F224
  20. Monitor and Measuring Data Mining and the Deformation Prediction of Tunnel,U456.3

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