| 基于学习的超分辨率技术 |
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| 引用本文： | 郑丽贤,何小海,吴炜,杨晓敏,陈默. 基于学习的超分辨率技术[J]. 计算机工程, 2008, 34(5): 193-195 |
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| 作者姓名： | 郑丽贤 何小海 吴炜 杨晓敏 陈默 |
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| 作者单位： | 四川大学电子信息学院图像信息研究所,成都,610064 |
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| 摘 要： | 基于学习的超分辨率算法使用一个图像训练集来产生一个学习模型，运用该模型为输入的低分辨率图像创建更多的高频信息，获得比基于重建算法更好的结果。该文介绍了基于学习的超分辨率技术的相关工作、理论基础和主要算法，提出基于学习的超分辨率算法中仍需解决的关键问题，展望其在未来的研究发展方向。
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| 关 键 词： | 超分辨率 马尔可夫随机场 图像金字塔 |
| 文章编号： | 1000-3428（2008）05-0193-03 |
| 收稿时间： | 2007-03-30 |
| 修稿时间： | 2007-03-30 |
Learning-based Super-resolution Technique |
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| ZHENG Li-xian,HE Xiao-hai,WU Wei,YANG Xiao-min,CHEN Mo. Learning-based Super-resolution Technique[J]. Computer Engineering, 2008, 34(5): 193-195 |
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| Authors: | ZHENG Li-xian HE Xiao-hai WU Wei YANG Xiao-min CHEN Mo |
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| Affiliation: | (Image Information Institute, College of Electronics and Information Engineering, Sichuan University, Chengdu 610064) |
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| Abstract: | Learuing-based super-resolution technique predicts the high-resolution images from the input low-resolution ones, through learning from a training set which consists of a large number of other high-resolution images. And the results are better than the reconstruction based super-resolution algorithms. The related work, theory and algorithms of learning-based super-resolution are illustrated. The crucial problems which need to be resolved in further work are proposed. Directions of future research are pointed. |
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| Keywords: | super-resolution Markov random field image pyramid |
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