Multiresolution image morphing in wavelet domain

This paper presents a new view synthesis technique using the 2D discrete wavelet-based view morphing. View morphing is completely based on pairwise images without camera calibration and depth information of images. First, the fundamental matrix related to any pair of images is estimated. Then, with the fundamental matrix, the pair of image planes is rectified to be parallel and to have their corresponding points lie on the same scanline, which gives an opportunity to generate new views with linear interpolating techniques. The pre-warped images are then decomposed into a hierarchical structure with the wavelet transform. Corresponding coefficients between two decomposed images are therefore linearly interpolated to form the multiresolution representation of an intermediate view. Quantization techniques can be embedded here to compress the coefficients to reduce the morphing complexity. Finally, when displaying, compressed images are decoded and inverse wavelet transformed. A post-warping procedure is employed to transform the interpolated views to its desired position