摘要： 针对当前视频监控图像分辨率较低、目标难以辨识的问题,基于多邻域信息,提出一种监控图像超分辨率算法。根据源图像中各像素点沿多个方向灰度梯度的变化,在双三次插值的基础上,通过改进算法获得超分辨率图像的插值结果。该算法考虑了源图像中边缘部分灰度变化方向的多样性,使得重建图像的边缘细节更加自然清晰。实验结果表明,与传统双三次插值算法相比,该算法能较好地再现图像的各种边缘信息,改善图像的主观视觉效果,所获得的超分辨率图像的峰值信噪比、均方误差以及图像相似度等评价指标均优于传统算法。

关键词: 超分辨率, 双三次插值, 灰度梯度, 方向信息测度, 参数估计, 数据融合

Abstract: A monitoring image super-resolution algorithm based on multi-neighborhood information is proposed to solve the problem of target identification due to the low image resolution of current video surveillance.On the basis of the bi-cubic interpolation,according to the change of each pixel along multi-directional gray gradient in the source image,optimized algorithm is used to acquire the super-resolution image.The multiplicity of gray scale directional change in the edge part of source image is taken into full consideration,so that the details section of the reconstructed image is more natural and clear.Experimental results show that,compared with the traditional bi-cubic interpolation algorithm,the algorithm can well represent the edge information of the image,obviously improve the subjective visual effect of the imag.The evaluation indexes of the obtained super-resolution image,which include peak signal to noise ratio,mean square error,and image similarity degree,etc.,are better than traditional methods.

Key words: super-resolution, bi-cubic interpolation, gray gradient, orientation information measure, parameter estimation, data fusion

中图分类号: 

• TP301.6