Improvement of noise filtering and image registration methods for the pressure sensitive paint experiments
Image processing procedures for noise reduction and image registration in the Pressure Sensitive Paint (PSP) experiments are investigated. A several types of filter are examined for the removal of shot noise. An algorithm to detect a marker cell located on the model surface is proposed and an appropriate marker size is discussed. The digital processing based on the wavelet transform is effective to reduce the shot noise and to enhance the edge of the model. The algorithm to sharpen the edge of the model using wavelet transforms is developed. The results indicate that the methods developed in this study effectively remove the shot noise and correct the displacement of the model on the images taken during the wind-on.
pressure sensitive paint wavelet transform flow visualization post image processing