资源论文Colorization for Single Image Super Resolution

Colorization for Single Image Super Resolution

2020-03-31 | |  54 |   40 |   0

Abstract

This paper introduces a new procedure to handle color in single image super resolution (SR). Most existing SR techniques focus primarily on enforcing image priors or synthesizing image details; less attention is paid to the final color assignment. As a result, many ex- isting SR techniques exhibit some form of color aberration in the final upsampled image. In this paper, we outline a procedure based on image colorization and back-pro jection to perform color assignment guided by the super-resolution luminance channel. We have found that our proce- dure produces better results both quantitatively and qualitatively than existing approaches. In addition, our approach is generic and can be incorporated into any existing SR techniques.

上一篇:A Structural Filter Approach to Human Detection

下一篇:Cascaded Confidence Filtering for Improved Tracking-by-Detection

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...