Dissertation > Excellent graduate degree dissertation topics show

Research and Implementation on Fog Image Restoration Technology

Author: ZhangWenTao
Tutor: WangJingDong
School: Nanjing University of Aeronautics and Astronautics
Course: Measuring Technology and Instruments
Keywords: Dark Channel Prior Guided Image Filter Edge-Corner Preserving Filter AdaptiveClipping Histogram Equalization
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 209
Quote: 0
Read: Download Dissertation

Abstract


In autum and winter,fog is a common weather phenomena.Influenced by fog,the obtained imageis low contrast,not clear and can not reflect the true scence information.The out-door vision systembecome invalid under the influence of heavy fog,which may causes damages to some works.In this paper,the image dehazing algorithm based on the dark channel prior is studied.Thepre-estimated transmissiion map obtained by this algorithm exists many blocking effects,which can beeliminated by the soft matting algorithm.The soft matting algorithm needs the inversion of hugeLaplace matrix,which is computional complex and hard to implement.The algorithm,which combinesthe dark channel prior with the guided image filter,is proposed.The proposed algorithm replaces thesoft image matting algorithm by the guided image filter,which is the Jacobi iteration of the optimalsolutions for the soft image matting.Then the proposed algorithm is less computional complex andeasy to implement.For the further reduction of the computional complexity,a novel way to estimate thetransmissiion map is proposed,which obtain the exact transmissiion map and avoid the blockingeffects. he proposed method is effective and of less computational complexity. Meanwhile,research onthe median filter and kuwahara filter,which are the commonly used edge-corner preserving filter,isdone.The specified direction and multi-stage median filter is proposed,which overcomes the poorcorner preserving property of the median filter.By the redefinition of the outcome of the kuwaharafilter and gaussian-weighted approach to calculating the mean and variance of the sub-block,theproposed kuwahra filter has more effective result.Although the image image restoration algorithm has attractive dehazing result,the restored imageis not perfect which is overall dim,is of low contrast and the local details are not prominent.In thisrespect,Adaptive clipping histogram equalization is proposed.This algorithm can adapt the rate ofenhancement according to the noise of the local area.Then the restored image can be well enhacedavoiding the situation that some useful image information is drowned in the noise.The proposed algorithm is implemented on the personal computer and the Seed-Vpm6467,whichis a classic Davinci video processing system of TI company.

Related Dissertations

  1. Research on Remote Sensing Image Haze Removal Methods,TP751
  2. Research on Fast Image Defogging and Visibility Restoration,TP391.41
  3. Research on Haze Removal and Image Decoding Accelerating,TP391.41
  4. The Application of Guided Image Filter in Single Image Restoration,TP391.41
  5. Image Dehazing Algorithm and Its Application in License Plate Detection,TP391.41
  6. The Study of Fog Images Simulation&Haze and Thin Cloud Removal Methods,TP75
  7. Research on the Image Dehazing Algorithm Based on OpenCL,TP391.41
  8. Image and Video Enhancement Under Insufficient Lighting Conditions,TP391.41
  9. Image Super Resolution Reconstruction,TP391.41
  10. Research on Image Preprocessing of Large Format CCD Digital Aerial Camera,TP391.41
  11. The Research of Image Restoration in Dust Environment,TP391.41
  12. Research of Single Hazed Image Denoising Based on Variational Method,TP391.41
  13. Research on Single Image Defogging Algorithm Based on Dark Channel Prior Principle,TP391.41
  14. Single image haze removal algorithm,TP391.41
  15. Research on Methods of Dehazing Optical Remote Sensing Images,TP751
  16. Image based on dark channel prior to fog Algorithm,TP391.41
  17. Visibility Detection Technology Based-on High-Definition Video,TP391.41
  18. Research on Haze Removal Algorithms for Digital Images,TP391.41
  19. Research on the Key Technologies of Retinex Image Enhancement Method,TP391.41
  20. Study on the Algorithms for Single Natural Image Restoration,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