In this dissertation we propose priors and learning based methods for super-resolution and other video processing applications. We also propose efficient algorithms for global motion estimation. We propose total subset variation (TSV), a convexity preserving generalization of total variation (TV) prior, for higher order clique MRF. A proposed differentiable approximation of the TSV prior makes it amenable for use in large images (e.g. 1080p). A generalization to vector valued data enables use of the TSV prior for color images and motion field. A convex relaxation of sub-exponential distribution is proposed as a criterion to determine parameters of the optimization problem resulting from the TSV prior. For super-resolution application, exper...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from ...
In this paper, we propose a method to improve the spatial resolution of video sequences. Our approac...
This thesis introduces new techniques for global motion estimation using gradient descent algorithm...
In this contribution, we present an algorithm for motion compensated video super-resolution that com...
This paper proposes a robust multi-frame video super-resolution (SR) scheme to obtain high SR perfor...
This thesis concerns the use of spatial and tonal adaptivity in improving the resolution of aliased ...
This thesis concerns the use of spatial and tonal adaptivity in improving the resolution of aliased ...
Super-resolution considers the problem of increasing the spatial resolution of an image or video fro...
Super-resolution considers the problem of increasing the spatial resolution of an image or video fro...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
This doctoral thesis deals with the enhancement of digital images by increasing their resolution, a ...
2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, 11-14 September 20...
We propose a fast and robust global motion estimation algo-rithm based on two-stage coarse-to-fine r...
37 pagesInternational audienceIn this work, we propose a novel procedure for video super-resolution,...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from ...
In this paper, we propose a method to improve the spatial resolution of video sequences. Our approac...
This thesis introduces new techniques for global motion estimation using gradient descent algorithm...
In this contribution, we present an algorithm for motion compensated video super-resolution that com...
This paper proposes a robust multi-frame video super-resolution (SR) scheme to obtain high SR perfor...
This thesis concerns the use of spatial and tonal adaptivity in improving the resolution of aliased ...
This thesis concerns the use of spatial and tonal adaptivity in improving the resolution of aliased ...
Super-resolution considers the problem of increasing the spatial resolution of an image or video fro...
Super-resolution considers the problem of increasing the spatial resolution of an image or video fro...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
This doctoral thesis deals with the enhancement of digital images by increasing their resolution, a ...
2011 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, 11-14 September 20...
We propose a fast and robust global motion estimation algo-rithm based on two-stage coarse-to-fine r...
37 pagesInternational audienceIn this work, we propose a novel procedure for video super-resolution,...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from ...
In this paper, we propose a method to improve the spatial resolution of video sequences. Our approac...
This thesis introduces new techniques for global motion estimation using gradient descent algorithm...