Dissertation > Excellent graduate degree dissertation topics show

Enhancement Methods Research on the Degraded Color Images in FOG

Author: XueRongKun
Tutor: LiYuFeng
School:
Course: Signal and Information Processing
Keywords: MSRCR Wavelet Transform Retinex Color constancy Adaptive histogram equalization
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 74
Quote: 0
Read: Download Dissertation

Abstract


Fog is a common natural phenomenon, it make the images acquired with the contrast of low、the fuzzy scene etc. by the visual system of outdoor due to scattered particles in the atmosphere so it can produce tremendous impact in the aerospace field, such as outdoor surveillance、target identification、target tracking、navigation、land transport、sea transport and air transport and so on. Therefore, it is very important practical significance for us to study enhanced methods research on the degraded color images in fog.The paper firstly analyze objectively the physical causes of fog imaging, it start studying enhancement algorithm research on the degraded color images in fog in-depth from the perspective of image processing. Then according to the depth of the fog color image of the scene changes in the characteristics, It make the detail of the fog degradation color image enhancement by the classical image enhancement methods including linear transformation, nonlinear transformation, histogram equalization and adaptive histogram equalization and so on.Utilizing hue invariance principle and conversion between color models, the grayscale image enhancement methods are extend to the degraded color image in fog and get good effect.Owing to the fog color image with low contrast and color characteristics of a light white, the single-scale Retinex enhancement algorithm (SSR) and multi-scale Retinex enhancement algorithm (MSR) are introduced according to the Retinex theory based on color constancy, and through improvement based on them, a recovery factor with color multi-scale Retinex enhancement algorithm (MSRCR) is proposed and it is proved to better restore the original features of the scene through several experiments.As fog images generally contain large noise, the Wavelet enhancement algorithm and the algorithm combined with the theory of wavelet transform and the Retinex theory of color image enhancement are proposed based on the characteristics of wavelet filter and Retinex theory, through several processing of the degraded color images in fog, the latter has relatively good enhancement effect.Through research on several degraded images in fog, two original color images from them and processed color image of them are evaluated finally by entropy、average gradient and variance, it is shown that the design of the wavelet transform and the Retinex theory of color image enhancement algorithm can achieve relatively better treatment effect.

Related Dissertations

  1. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  2. Feature Extraction, Selection and Combination in Lipreading,TP391.41
  3. Research on Identification System of Cashmere and Wool Fiber,TS101.921
  4. Characteristics of sensory stimulation evoked,R318.0
  5. Network transmission ROI image coding algorithm,TN919.81
  6. Wavelet Transform with Applications in Data Processing of Bridge’s Deformation Observation,TP274
  7. Based on Contourlet Transform Digital Watermarking Method,TP309.7
  8. Image Fusion Algorithms Based on Multi-scale Analysis,TP391.41
  9. Feature Extraction Technologies Research and Implementation of 3D Models Based on Wavelet Transform,TP391.41
  10. An Algorithm on Clustering and Anomaly Detection for Multiple Data Streams,TP311.13
  11. Research on Information Hiding Based on Images,TP309.7
  12. Design and Implication of Image Compression System Based on Wavelet and DM6446,TP391.41
  13. Research on Three-dimensional Surface Splicing Method Based on Genetic Algorithm and the Wavelet Transformation,TP391.41
  14. Study on Medical Image Segmentation Method Based on Parametric Active Contour Models,TP391.41
  15. SOPC Design of Transient Power Quality Disturbances Detecting Based on Nios Ⅱ,TN47
  16. Based on Lifting Scheme Wavelet Packet Transform and Artificial Neural Network Wing-box Multi-damage Detection,V224
  17. An Empirical Study on the Relationship between the China Stock Index Futures and Spot Markets,F224
  18. Research on Design and Data Processing for Wireless Electrocardiogram Monitoring Systems,TP274
  19. The Study of Vibration Signal Analysis System Based on Wavelet Fractal Theory,TN911.6
  20. Research on the Key Technique in Face Recognition,TP391.41
  21. Research and Realization of Image Denoising Based on Wavelet Transform,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