Image model plays a critical role in recovering diagnosis-relevant information from noisy observation data. Unlike conventional denoising techniques based on local models, a patch...
Image reconstruction problems in radio astronomy and other fields like biomedical imaging are often ill-posed and some form of regularization is required. This imposes user speci...
In this paper, we present a method for tracking and retexturing of garments that exploits the entire image information using the optical flow constraint instead of working with di...
Abstract We have previously proposed an expressive UML-based language for constructing and transforming security-design models, which are models that combine design specifications...
We present a universal statistical model for texture images in the context of an overcomplete complex wavelet transform. The model is parameterized by a set of statistics computed ...