Stereo matching algorithm based on curvelet decomposition and modified support weights

We present a novel multiresolution analysis based stereo matching method using curvelets and modified adaptive support weight. Multiresolution analysis has long been applied to stereo correspondence. However, previous methods suffer from false matches arising from textureless region or repetitive textures and fattening effect due to area based matching. In the proposed approach, we have reduced false matches by using curvelet coefficients in different scales and orientations. Curvelet coefficients can uniquely represent different image points and increase matching accuracy. The fattening effect is reduced using support weights modified for curvelets. The proposed method is verified and compared with state-of-the art methods by extensive tests, and good results are obtained.