Denoising by Wavelet Thresholding Applied to DHPIV

Digital Holographic Particle Image Velocimetry is a promising technique for flow field measurement. However, the low resolution of the sensors still remains poor and needs to be compensated by image processing techniques. The study is organized as fellows. We present the two in-line holograms algorithm which permits, at the same time, to retrieve the absorption and the phase shift images. The use of the phase shift information to particle localization permits to increase the accuracy along the depth direction. A wavelet thresholding method is employed to remove noise in the reconstructed absorption and phase shift by using a simple subband adaptive threshold. The proposed methods are illustrated with computer simulation