基于张量总变分的模糊图像盲复原

doi:10.11772/j.issn.1001-9081.2016.11.3207

计算机应用 ›› 2016, Vol. 36 ›› Issue (11): 3207-3211.DOI: 10.11772/j.issn.1001-9081.2016.11.3207

基于张量总变分的模糊图像盲复原

刘洪^1,2, 刘本永²

1. 贵州大学计算机科学与技术学院, 贵阳 550025;
2. 贵州大学大数据与信息工程学院, 贵阳 550025

收稿日期:2016-05-23 修回日期:2016-06-20 出版日期:2016-11-10 发布日期:2016-11-12
通讯作者: 刘本永
作者简介:刘洪(1978-),女,贵州桐梓人,副教授,博士研究生,主要研究方向:信号与信息处理、数字图像处理;刘本永(1966-),男,贵州兴仁人,教授,博士生导师,博士,主要研究方向:数字图像处理、模式识别。
基金资助:
国家自然科学基金资助项目（60862003）；科技部国际合作项目（2009DFR10530）；贵州大学青年基金资助项目（201314）。

Blind restoration of blurred images based on tensorial total variation

LIU Hong^1,2, LIU Benyong²

1. College of Computer Science and Technology, Guizhou University, Guiyang Guizhou 550025, China;
2. College of Big Data and Information Engineering, Guizhou University, Guiyang Guizhou 550025, China

Received:2016-05-23 Revised:2016-06-20 Online:2016-11-10 Published:2016-11-12
Supported by:
This work is partially supported by the National Natural Science Foundation of China (60862003), the International Cooperation Projects of Science and Technology Department (2009DFR10530), Youth Foundation of Guizhou University (201314).

摘要/Abstract

摘要： 现有模糊图像盲复原算法通常仅利用彩色图像的灰度信息估计模糊核，彩色图像转换成灰度图像的操作会造成信息丢失，在处理尺寸过小或显著边缘过少的图像时，模糊核的估计通常会失效，导致最后复原图像的质量不理想。针对上述问题，在新的张量框架下，把彩色模糊图像作为一个三阶张量，提出了一种基于张量总变分的模糊图像盲复原算法。首先通过调整张量总变分模型中的正则化参数获取彩色图像不同尺度的边缘信息，从而估计出模糊核；再利用张量总变分算法对模糊图像解模糊，复原出清晰图像。实验结果表明，所提算法得到的复原图像在峰值信噪比（PSNR）和主观视觉上均得到明显改善。

关键词: 模糊图像, 盲复原, 模糊核, 张量, 张量总变分

Abstract: In general blind restoration algorithms, only the gray information of a color image is utilized to estimate the blurring kernel, and thus a restored image may be unsatisfactory if its size is too small or the salient edge in it is too little. Focused on the above mentioned problem, a new blind image restoration algorithm was proposed under a new tensorial framework, in which a color image was regarded as a third-order tensor. First, the blurring kernel was estimated utilizing the multi-scale edge information of blurred color image which could be obtained by adjusting the regularization parameter in tensorial total variation model. Then a deblurring algorithm based on tensorial total variation was adopted to recover the latent image. The experimental results show that the proposed algorithm can achieve obvious improvement on Peak Signal-to-Noise Ratio (PSNR) and subjective vision.

Key words: blurred image, blind restoration, blurring kernel, tensor, tensorial total variation

中图分类号:

TP391.4

刘洪, 刘本永. 基于张量总变分的模糊图像盲复原[J]. 计算机应用, 2016, 36(11): 3207-3211.

LIU Hong, LIU Benyong. Blind restoration of blurred images based on tensorial total variation[J]. Journal of Computer Applications, 2016, 36(11): 3207-3211.

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基于张量总变分的模糊图像盲复原

Blind restoration of blurred images based on tensorial total variation

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