We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
A novel nonlinear scale space framework is proposed for the purpose of multiscale image representation. The scale space decomposition problem is formulated as a general Bayesian l...
Akshaya Kumar Mishra, Alexander Wong, David A. Cla...
Abstract. Super-resolution of a single image is a severely ill-posed problem in computer vision. It is possible to consider solving this problem by considering a total variation ba...
Priyam Chatterjee, Vinay P. Namboodiri, Subhasis C...
Abstract. We introduce a family of first-order multi-dimensional ordinary differential equations (ODEs) with discontinuous right-hand sides and demonstrate their applicability in i...
On clinical applications, many magnetic resonance (MR) Images obtained directly by the instruments are not satisfied by doctors. For example, there are some noises and poor contra...
Di Jia, Fangfang Han, Jinzhu Yang, Yifei Zhang, Da...