Performance Improvement of Aerial Images Taken by UAV Using Daubechies Stationary Wavelet

Daubechies 정상 웨이블릿을 이용한 무인항공기 촬영 영상 성능 개선

  • Kim, Sung-Hoon (Department of Aircraft System Engineering, Hanseo University) ;
  • Hong, Gyo-Young (Department of Aircraft System Engineering, Hanseo University)
  • 김성훈 (한서대학교 항공시스템공학과) ;
  • 홍교영 (한서대학교 항공시스템공학과)
  • Received : 2016.11.01
  • Accepted : 2016.12.13
  • Published : 2016.12.31


In this paper, we study the technique to improve the performance of the aerial images taken by UAV using daubechies stationary wavelet transform. When aerial images taken by UAV were damaged by gaussian noise very commonly applied, the experiment for image performance improvement was performed. It was known that stationary wavelet transform is the transferring solution to the problem occurred by down sampling from DWT also more efficient to remove noise than DWT. Also haar wavelet is discontinuous function so not efficient for smooth signal and image processing. Therefore, this study is confirmed that the noise can be removed by daubechies stationary wavelet and the performance is improved by haar stationary wavelet.


Supported by : 한서대학교


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