Dissertation > Excellent graduate degree dissertation topics show

Research on Digital Video Enhacement Technique Based on Target

Author: TangHuang
Tutor: LiuXiaoLin
School: National University of Defense Science and Technology
Course: Control Science and Engineering
Keywords: High dynamic range compression Non - uniformity correction Significant area detection Digital video enhancement
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 13
Quote: 0
Read: Download Dissertation

Abstract


In practical applications, digital video often appears a high dynamic range, the non-uniform illumination, strong fixed pattern noise, seriously affect the human eye observation. Traditional digital video enhancement algorithms focus on blind according to the basic features of the image (such as color, gradient, etc.) to enhance, not to consider the specific content of the image, especially the human eye and the object of concern, which brought both contradiction: First, the target and background dynamic range of contradictions, is a to suppress strong fixed pattern noise and maintain the target edge and detail contradiction. In improving airspace temporal enhancement technology based on the introduction of the visual characteristics of human physiology, presented a new target-based digital video enhancement algorithms will enhance transformed into semantic characteristics targeted enhancements blind. The algorithm utilizes the human visual system characteristics and image significant area detection, the image is divided into a significant area and the non significant forward region, the target and background dynamic range conduct reasonable allocation using different strategies respectively on the two regions carried enhanced, in the enhanced human eye by target effective details concern the same time, suppressing the background noise, overcoming the traditional methods to bring the two contradictory, and effectively improve the quality of the digital video. Simulated images and real image sequences to test the performance of the algorithm, and compared with the traditional algorithm. Experiments to prove the effectiveness of the proposed method. The main thesis work and research: to study the adaptive high dynamic range compression technology. Details for traditional high dynamic range compression method, missing, color distortion, halo, such as lack of a segmentation map based on the brightness of the macro characteristics of high dynamic range compression algorithm. The segment mapping algorithm macroscopic characteristics of the brightness, adjust the dynamic range visual entropy weights, compress the overall dynamic range while maintaining local details, eliminating halos and color distortion, so that the whole image to display more natural . 2, non-uniformity correction of digital video technology. Based background modeling fixed pattern noise suppression algorithms for traditional scenario-based non-uniformity correction algorithm ghosting details. According to the stability of the fixed pattern noise in the time domain, to establish a model of the fixed pattern noise, and to effectively suppress the fixed pattern noise, and to maintain the details of the image. 3, significant regional detection and video enhancement technology. Target-based digital video enhancement. Basis to significantly zone detection techniques, the image is divided into a significant area and the general area, respectively, taken on the significant area and the general area the different enhancement strategy algorithm. The method based image enhancement of the basic characteristics of blind rise to enhanced semantic features based on target to have targeted prominent target details, background noise suppression, improved video quality. 4, using CUDA and OpenMP to achieve a target-based digital video enhancement algorithms, computing performance has been significantly improved.

Related Dissertations

  1. Research on high-speed CMOS smart camera,TB852.1
  2. Scenario-based non- uniformity correction,TN215
  3. X-ray image correction giant tire , display technology research,TP391.41
  4. Research of IRFPA Non-uniformity Adaptive Correction Based on DSP,TN215
  5. Research on Nonuniformity Correction for Infrared Focal Plane Array Based on SoC,TN215
  6. Study on Performance Parameters Analysis for Infrared Imaging System and Target Parameters Measuring Based on Photoelectric Image,TP391.41
  7. FPGA-based infrared image non-uniformity correction algorithm,TP391.41
  8. The Design of Correction Method of the Led Display Brightness Based on CCD Camera,TN873
  9. Research on the Method for Non-uniformity Correction of Infrared Focal Plane Based on Optical Defocus,TN219
  10. A Study of the Non-uniformity Correction for Infrared Focal Plane Arrays,TN215
  11. The Study and Realization of Infrared Image System Non-uniformity Correction Algorithm Based on TMS320DM6437,TN215
  12. Research on IRFPA Nonuniformity Correction System Modeling Based on OO-TDPN,TN215
  13. Readout circuit test system based on LabVIEW uncooled infrared focal plane,TN215
  14. TEC uncooled infrared focal plane readout circuit design and research,TN215
  15. Study on Data Acquiring, Controlling and Preprocessing for Infrared Detector,TN215
  16. Study on Non-uniformity Correction Algorithm and Image Enhancing Algorithm on IRFPA,TN215
  17. Research of Infrared Imaging System Based on DSP and CPLD Architecture,TN216
  18. Shortwave Infrared Imaging Spectrometer electronics key technology research,TH744.1
  19. The Research on Thermal Faults Real Time Detection for Image Processing,TP391.41
  20. Infrared focal plane nonuniformity correction method and simulation,TN215

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