In this paper, we propose a novel patch-based disocclusion filling method for view synthesis from video-plus-depth data. The proposed method treats disocclusion filling as a global optimization problem, where global (spatial) consistency among the …
This work explores the potentials of structure encoding in sparse tomographic reconstructions. We are encoding spatial structure with Markov Random Field (MRF) models and employ it within Magnetic Resonance Imaging (MRI) and Quantitative Microwave …
Example-based super-resolution has become increasingly popular over the last few years for its ability to overcome the limitations of classical multi-frame approach. In this paper we present a new example-based method that uses the input …
This paper presents a new wavelet-based image denoising method, which extends a recently emerged textacutedblgeometricaltextacutedbl Bayesian framework. The new method combines three criteria for distinguishing supposedly useful coefficients from …