Dissertation > Excellent graduate degree dissertation topics show

Color Image Denoising and Video Capture Software Design

Author: JiDongLei
Tutor: WangXueWei
School: Beijing University of Chemical Technology
Course: Applied Computer Technology
Keywords: Curvelet transform YCbCr Color image denoising MPEG-4 DirectShow
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 131
Quote: 0
Read: Download Dissertation

Abstract


Summary In the video surveillance system for collecting images video capture card is the core module of the system, it is in the process of image acquisition will be subject to external factors (noise) the impact of the decline in the quality of the collected images and masks important image details, and then for the subsequent image processing (image segmentation, integration and recognition, etc.) difficult. Therefore, the image processing, the first task is to isolate and remove the image noise. Wavelet analysis is a good tool for signal analysis, can be more effectively separated and removed the noise, and the method of is more mature. However, the image signal, wavelet analysis method also has some drawbacks: it has a singular point in two or higher dimensional signal processing, the data itself can not take full advantage of the unique characteristics of the geometric representation of the image signal efficiently. Curvelet multiscale wavelet analysis method to make up for the lack of analytical methods, it has a curve singularity has a strong directional signal, and its anisotropy is very conducive to the edge of the image portrayed and representation. Therefore, the use of new analytical methods for the efficient handling of digital images is very necessary. In this paper, Wavelet and Curvelet analysis, in-depth study of the color image denoising methods, and design a video compression card software development kit to achieve a video surveillance monitor and capture images, the last of the captured image de-noising processing monitor, the main content are: (1) In-depth analysis of the characteristics of the color image color space, and the color image denoising effect, select denoising YCbCr color space, without sacrificing image quality to the premise of more effectively remove the noise. (2) study the wavelet-based thresholding algorithm, and on this basis, using the YCbCr color space BayesShrink and MapShrink thresholding method. This method can better maintain the color information, but also obtain a higher peak signal to noise ratio (PSNR). (3) in-depth study Curvelet multiscale analysis method proposed in the YCbCr color space Curvelet domain thresholding method. The method utilizes the characteristics of Curvelet transform is constructed threshold and the improved denoising threshold function. The method in addition to better maintain the image's color information, it can retain more image details, which greatly reduces the wavelet analysis method produces fuzzy image edge and increase the peak signal to noise ratio (PSNR). (4) is designed based Video Capture SDK program. Designed and developed using VC 6.0 PC/104plus architecture based on MPEG-4 video compression card API dynamic link libraries and applications, designed based on DirectShow multimedia processing procedures, to achieve real-time video preview, capture video surveillance images. Color image denoising using the proposed method with noise captured image denoising, can effectively remove the noise and get higher peak signal to noise ratio. (5) is designed based on DirectShow video capture program, the DirectShow architecture, design and development of video compression card minidriver based software applications. The research and development work in this experiment proved: Denoising correct and effective, the design of MPEG-4 video compression card software development kit functions properly and stable performance.

Related Dissertations

  1. Research on Intelligent Learning-Based Multi-Sensor Target Recognition and Tracking System,TP391.41
  2. Preparation of Enrofloxacin Sustained-release Preparations and Its Pharmacokinetics,R96
  3. The Design and Implementation of the Single-chip MPEG2 Video Encoder,TN919.81
  4. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  5. The Research and Application of the Transmission and Distribution for Multiple-Concurrent Flows Based on IPv6,TN949.292
  6. Design and Implementation of a Black Field Analysis Module of MPEG-2 Video Decoder,TP391.41
  7. 3D Facial Animation Generation Design and Implementation,TP391.41
  8. Design and implementation of monitoring vehicle with multimedia terminals,TP37
  9. High Efficiency 3D Video Representation and Coding,TN919.81
  10. The Design of Network Video Monitor System Based on MPEG-4,TP277
  11. Embedded video decoder motion compensation process data layout optimization,TN919.81
  12. Based on DirectShow and OpenGL video communication software design and implementation,TN919.8
  13. Contains curcumin MPEG-P (CL-co-PDO) polymeric micelles research,R283
  14. TILE Pro64 based on multi-core processors for 3G video transcoding server software design,TP393.05
  15. Temporal integration of visual selective attention model and applied research in the MPEG compressed domain,TP391.41
  16. Target Tracking Based on Particle Filter Algorithm and DirectShow realized,TP391.41
  17. Combination of multi-core based on the generalized Gaussian image classification method,TP391.41
  18. Research of Damage Efficiency by Livin/Survivin RNA Interference on Colorectal Cancer Cell Mediated by mPEGylated-chitosan Nanoparticles,R735.34
  19. Application and Research of Video Surveillance System in Highway Based on ASON,TP277
  20. Hypercomplex sparse representation and its applications,TP391.41
  21. Algorithm Research about Image De-noising Based on Curvelet Transform and Partial Differential Equations,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