Dissertation > Excellent graduate degree dissertation topics show

Infrared image preprocessing algorithm and hardware implementation

Author: YuLei
Tutor: ChenQian
School: Nanjing University of Technology and Engineering
Course: Optical Engineering
Keywords: infrared image non-uniformity correction denoise sharpening histogram enhancement
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 231
Quote: 7
Read: Download Dissertation

Abstract


With the development of infrared imaging,the performance of infrared imaging system is improved and the manufacturing cost is reduced increasingly. Infrared imaging technology has extended from military field to a broader civilian field,and developed from previous tactical position to hodiernal strategic position.However,the infrared images has some issues such as non-uniformity,noise diversification,low contrast,fuzzy visual effects and so on.For the deficiency of infrared images,this paper mainly focuses on the preprocessing of infrared images,and discusses the hardware implementations of different algorithms. Specific research contents and results are as follows:(1) For the image sources and manifestations of non-uniformity,this paper presents high pass filtering non-uniformity correction for the temperature drift.All the corrections of this algorithm are completed during the output process.(2) On how to effectively suppress noise,we design interframe filtering algorithm and median filter algorithm.The algorithms using the space information of images,has a better effect on noise suppression and less computation.(3)For the low contrast of infrared images,here presents edge adaptive sharpening technology and local parameters sharpening technology.Improve the contrast of images and enhance the resolution of image edge details by enhancing the weak-edge focusedly,enhancing image edge properly and suppressing the noise.(4)For the conflict between the large dynamic range of signal source and small dynamic range of display output during the process of infrared focal plane array signals,this paper presents infrared images adaptive histogram equalization technology.It solves the limit on the performance of infrared focal plane array system causing by the danamic range, improves the image quality.On that basis,we validate the efficiency of the algorithms presented in this paper by a large number of outdoor experiments.

Related Dissertations

  1. Space Infrared Target Simulation and Application of Target Trace,TP391.41
  2. Profile Measuring System Based on Digital Image Processing,TP274
  3. Complex background infrared small target detection method,TN215
  4. SAR radar speed data acquisition and processing system to achieve,TN958
  5. A unit of IR image analysis and verification system design and implementation,TP391.41
  6. The Depth Estimation Based on Monocular Night Vision Image,TP391.41
  7. Design and Realization of Algorithm for Non-uniformity Correction of Irfpa,TP391.41
  8. Real-time Monitor Driver Vigilance Using Infrared Images,TP391.41
  9. Research on high-speed CMOS smart camera,TB852.1
  10. Scenario-based non- uniformity correction,TN215
  11. Infrared and visible image registration and fusion research,TP391.41
  12. Integration with CMOS infrared detector for breast cancer research,TP391.41
  13. Based on infrared thermal image of overhead transmission line fault detection software development,TM755
  14. Infrared image enhancement and color lookup table -based technology research,TP391.41
  15. Research on Digital Video Enhacement Technique Based on Target,TP391.41
  16. Infrared and visible image registration algorithm,TP391.41
  17. Concealed Weapon Detection Research Based on Image Fusion,TP391.41
  18. Research on DBS Imaging Technique for MMW Terminal Guidance Radar,TJ761.14
  19. Research of Infrared Image Segmentation for Power Equipment in Substation,TP391.41
  20. Research of Automatic Extraction About Sheet Metal Corrasion Region,TP274
  21. Researches on Key Technology of Infrared Surveillance System,TP277

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