Dissertation > Excellent graduate degree dissertation topics show

A Database of Image Based on MOS of the Measurement Method for Evaluation Model

Author: JiangJianXing
Tutor: MingJun
School: Anhui University
Course: Electromagnetic Field and Microwave Technology
Keywords: MOS database image quality evaluation HVS space model measurement method correlation coefficent
CLC: TP391.41
Type: Master's thesis
Year: 2014
Downloads: 3
Quote: 0
Read: Download Dissertation

Abstract


In today’s society, With the rapid development of digital image processing technology, which changes rapidly, the importance of image quality evaluation is more and more outstanding and playing a crucial and irreplaceable role in the field of image processing. At present, a lot of mainstream objective image quality evaluation approaches have been proposed, such as the Peak Signal-to-Noise Ratio(PSNR), the Mean Square Error(MSE) and so on, the objective evaluation criterion is simple and easy to implement but purely statistical data on Mathematics and physics, without the consideration of human mental and visual experience, so it does not fully comply with the visual characteristics of human eyes. International criterion is the Mean Opinion Score(MOS) which called MOS, namely the humanvisual satisfaction of images, but this method is very time-consuming,and need a large number of participants, and the evaluation results are influenced by factors such as the psychological quality of the observer, With the harsh conditions,it is not easy to realize.In view of this, the researchers put forward a lot of new objective quality evaluation criterion combined with human visual characteristics. How to measure the image quality evaluation criterion, should be determined according to the human vision judgment results. In this paper, based on the MOS database, with the least square method to calculate the correlation coefficient to measure the objective evaluation and subjective evaluation to determine the degree of agreement of MOS, the main works are follows:1. Introduces the MOS image database of U-Texas at Austin (America Dezhou University at Austen Laboratory for image and video engineering) and IVC (International Video Center), and introduces the MOS image database of IVC particularly, the MOS image database contains10pieces of original image and235damage pictures through four different distortion processing, in this paper, the current mainstream image criterion all have been investigated by the MOS image database of235images damage pictures, and give MOS of the the subjective evaluation.2. The main image quality evaluation method is briefly described, the mathematical model and structure diagram are presented, and the evaluation criterion of image quality evaluation of these mainstream method based on MOS image database is investigated, received a large number of experimental results, and the experimental results were analyzed and compared.3. This paper explains briefly the principle of the measurement method to measure the image quality evaluation method based on MOS image database, and gives the structure diagram. normalized parameter method to evaluate image quality has inspected based on MOS image database, so as to measure the evaluation methods,calculated the correlation coefficient of the normalized parameters and MOS in the least squares method. The inspection contains the correlation coefficient of distortiona of single image single class, distortion of single image multi class, distortion of multi image single class, distortion of multi image multi class.4. To establish the experimental platform of the correlation analysis to measure method of the image quality evaluation based on MOS image database, programming method and experimental process are described briefly, presents the experimental picture. Using the platform, the mainstream image quality evaluation method for MOS image database of different distortion types and different images are investigated, get a lot of the experimental data, and the experimental results are analyzed and compared.The method proposed in this paper to measure the image quality evaluation method based on MOS image database based on theoretical analysis and a lot of experiment. based on the experimental platform, use the main objective image quality evaluation method with all images in IVC MOS database to metric the correlation, experimental results show that the measurement method for image quality evaluation based on MOS database can measure the image quality evaluation methods quality effectively, and it can promote the improvement of the image quality evaluation methods, in favor of the discovery of the new image quality valuation method accord with human visual characteristics.

Related Dissertations

  1. Error Analysis and Measurement Method Design for the Hemispherical Resonator Gyro,V241.5
  2. 3D Body Measurement Systems of the Apparel Based on Incomplete Data,TP391.41
  3. The Experimental Research on Reliable Service Life of Toothed Gearing,TH132.41
  4. Digital Identification of the Discontinuities Information and Strength Evaluation of the Rockmass,TU452
  5. The artillery Gyrotheodolite Design and Implementation of the automatic measurement modes,E924
  6. Qingdao soil pollution elements relevance, distribution and source of,X53
  7. Analysis and Research of the Shot-put Measuring Technology Based o Video Image Processing,TP391.41
  8. Bubble Behavior Studies for Natural & Forced Circulation Conditions,TL334
  9. Research on Hydraulic Station Fault Prediction and Diagnosis System Based on Gray Theory,TH165.3
  10. The Experimental Study on Lucky Imaging Technology for Spatial Objects,TP391.41
  11. Zoom System Optical Design for Grating Wavefront Detection,O435
  12. Determination of the Strains Generated by Invisible Appliance with Different Thickness and Different Designed Displacement,R783.5
  13. The Research on the Astronomy Imaging Technology of Diffraction-Limit Based on Lucky Imaging,TP391.41
  14. An Image Quality Synthetic Evaluation Method Based on Image Space Multi-Channel Similar Decomposition,TP391.41
  15. Remote sensing data fused image quality evaluation studies,P237
  16. Research and Application of the Additional Table Measurement Method in Cast-in-situ Reinforced Concrete Engineering,TU723.3
  17. TMT -based Enterprise Technology Innovation Strategy Mode Selection,F273.1
  18. Research on the On-line Anti-fouling Technology of Evaporator,TQ051.62
  19. Rerearch of Household Low-consumption RF Card Heat Meter,TH81
  20. Transplantation of Algorithm and Study of Quality Evaluation Method of Super-resolution Image,TP391.41
  21. The Comparative Research on the Measurement Method of Enterprises in Technological Innovation Capability,F273.1

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