We investigate the use of fractional powers of the Laplacian for signal and image simplification. We focus both on their corresponding variational techniques and parabolic pseudod...
Stephan Didas, Bernhard Burgeth, Atsushi Imiya, Jo...
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserv...
Abstract. Motion estimation is one of the key tools in many video processing applications. Most of the existing motion estimation approaches use the brightness constancy assumption...
This paper introduces an algorithm for fast and subpixel precise detection of small, compact image primitives (”blobs”). The algorithm is based on differential geometry and in...
We examine the problem of finding the optimal weight of the fidelity term in variational denoising. Our aim is to maximize the signal to noise ratio (SNR) of the restored image. ...