基于两级字典与分频带字典的图像超分辨率算法

练秋生; 张钧芹; 陈书贞

doi:10.3724/SP.J.1004.2013.01310

基于两级字典与分频带字典的图像超分辨率算法

doi: 10.3724/SP.J.1004.2013.01310

1.
燕山大学信息科学与工程学院秦皇岛 066004

基金项目:

国家自然科学基金(61071200, 60772079);河北省自然科学基金(F2010001294)资助

详细信息

作者简介:
张钧芹燕山大学硕士研究生. 主要研究方向为超分辨率.E-mail: zhangjunqin1111@163.com

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- 被引次数: 0
出版历程
- 收稿日期: 2011-09-06
- 修回日期: 2012-11-07
- 刊出日期: 2013-08-20

Single Image Super-resolution Algorithm Based on Two-stage and Multi-frequency-band Dictionaries

1.
Institute of Information Science and Technology, Yanshan University, Qinhuangdao 066004

Funds:

Supported by National Natural Science Foundation of China (61071200, 60772079) and Natural Science Foundation of Hebei Province (F2010001294)

摘要

摘要: 常规基于稀疏表示的超分辨率算法使用一级高低分辨字典重构图像, 恢复细节信息不充分. 本文利用两级字典恢复尽可能多的细节信息; 然后构造联合低频字典、中频字典、高频字典的分频带字典, 利用图像低频、中频、高频三者之间的预测关系, 恢复图像中的高频信息. 利用图像的非局部相似性, 将其与迭代反向投影算法相结合, 进行图像的后处理. 实验结果表明, 与其他几种基于学习的算法相比, 本算法无论是在峰值信噪比、结构相似性指标, 还是视觉效果上都有显著的提高.
- 超分辨率 /
- 稀疏表示 /
- 字典 /
- 非局部相似性
Abstract: The conventional super-resolution algorithms on sparse representation reconstruct the high resolution image using one-stage high/low resolution dictionary pairs with inadequate detail information. In order to recover detail information as much as possible, two-stage dictionaries are explored in this paper. Then we train jointly multiple-frequency-band dictionaries consisting of low frequency (LF) dictionaries, middle frequency (MF) dictionaries and high frequency (HF) dictionaries, and simultaneously exploit the prediction relation of LF component, MF component and HF component to recover middle and high frequency information. Considering that there are many repetitive structures in the natural image, nonlocal self-similarity information is combined properly with iterative back-projection procedure to post-process the image. Experimental results demonstrate that the proposed algorithm has remarkable improvement in peak signal-to-noise ratio, structural similarity and visual quality compared with the other learning-based algorithms.
- Super-resolution /
- sparse representation /
- dictionaries /
- nonlocal self-similarity

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参考文献(25)

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