Computing occluding and transparent motions
International Journal of Computer Vision
Motion estimation of transparent objects in the frequency domain
Signal Processing
A robust multiscale B-spline function decomposition for estimating motion transparency
IEEE Transactions on Image Processing
EURASIP Journal on Advances in Signal Processing
Dynamic Layer Separation for Coronary DSA and Enhancement in Fluoroscopic Sequences
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part II
Coronary Tree Extraction Using Motion Layer Separation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
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We describe a novel multiresolution parametric framework to estimate transparent motions typically present in X-Ray exams. Assuming the presence if two transparent layers, it computes two affine velocity fields by minimizing an appropriate objective function with an incremental Gauss-Newton technique. We have designed a realistic simulation scheme of fluoroscopic image sequences to validate our method on data with ground truth and different levels of noise. An experiment on real clinical images is also reported. We then exploit this transparentmotion estimation method to denoise two layers image sequences using a motion-compensated estimation method. In accordance with theory, we show that we reach a denoising factor of 2/3 in a few iterations without bringing any local artifacts in the image sequence.