In this paper we propose a sparsity-based, directional variational approach for upsampling depth images, aided by an accompanying optical (in RGB) image of ...

ABSTRACT. In this paper we propose a sparsity-based, directional vari- ational approach for upsampling depth images, aided by an.

Sparsity-based depth image restoration using surface priors and RGB-D correlations Conferences uri icon. Overview; Research; Identity; Additional Document Info ...

In this paper we propose a sparsity-based, directional variational approach for upsampling depth images, aided by an accompanying optical (in RGB) image of ...

This paper proposes a novel image decomposition model for scene depth recovery from low-quality depth measurements and its corresponding high resolution color ...

Sparsity-based depth image restoration using surface priors and RGB-D correlations. Xiaowei Deng, Xiaolin Wu. International Conference ...

In this paper, we present a novel multi-scale symmetric network framework with the correlation-controlled color guidance to work on DISR.

A curated list of resources for Image and Video Deblurring - subeeshvasu/Awesome-Deblurring.

Multifocus image fusion based on surface area analysis Conferences; Sparsity-based depth image restoration using surface priors and RGB-D correlations ...

In this paper, we propose a deep residual network based on deep fusion and local linear regularization for guided depth enhancement. The presented scheme can ...