TV-based Multi-Scale Super Resolution using Intra- and Inter-Scale Correlations

被引：0
|
作者：
Wu, Jiying [1 ]
Fu, Jingjing [1 ]
Zeng, Bing [1 ]
机构：
[1] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Kowloon, Hong Kong, Peoples R China
来源：
2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS | 2010年
关键词：
IMAGE; INTERPOLATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A multi-scale approach is proposed in this paper for image super resolution (SR) from a single source image of a low resolution (LR). In this approach, a sequence of "coarse" SR images, called multi-scales, are first generated from the source image via a total variation (TV) based restoration scheme. All multi-scale images are then brought into the minimum mean-square-error (MMSE) estimation to compose the final SR image. We demonstrate that these multi-scale images contain some geometric information and are highly correlated with each other. Therefore, by making use of intra-and inter-scale correlations, the joint MMSE estimation is able to produce a better quality (both objective and subjective) in the composed SR image. Experimental results are provided to confirm the performance gain over several state-of-the-art methods.
引用
收藏
页码：2646 / 2649
页数：4
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