In this paper we propose a novel prior-based variational object segmentation method in a global minimization framework which unifies image segmentation and image denoising. The id...
Anders Heyden, Christian Gosch, Christoph Schn&oum...
In this paper, we propose a new variational decomposition model which splits an image into two components: a first one containing the structure and a second one the texture or nois...
Variational models for image segmentation have many applications, but can be slow to compute. Recently, globally convex segmentation models have been introduced which are very rel...
Dynamic volumetric (four dimensional- 4D) medical images are typically huge in file size and require a vast amount of resources for storage and transmission purposes. In this pape...
Victor Sanchez, Panos Nasiopoulos, Rafeef Abugharb...
In Part I ["The shiftable complex directional pyramid--Part I: Theoretical Aspects," IEEE TRANSACTIONS ON SIGNAL PROCESSING, vol. 56, no. 10, October 2008], we proposed a...