%0 Journal Article
%T Image super-resolution restoration based on adaptive regularization MAP<br>基于自适应规整化方法的图像超分辨率重建*
%A LIN Yun
%A CAO Han-qiang
%A <br>林昀
%A 曹汉强
%J 计算机应用研究
%D 2007
%I 
%X A MAP method based on adaptive regularization was proposed for image super-resolution restoration, the prior distribution of the image was assumed in Gaussian-Gibbs field. The solution was adaptively regularized through parameters estimating of prior distribution. Experiment results show that the method can properly retrieve all kinds of edges. In the meanwhile, the PSNR and visual quality of restored high resolution image are improved significantly.
%K super-resolution restoration
%K Gauss-Gibbs random fields
%K parameter estimation
%K adaptive regularization<br>超分辨率重建
%K Gauss-Gibbs随机场
%K 参数估计
%K 自适应规整化
%K 自适应
%K 规整化
%K 方法
%K 图像超分辨率
%K 重建图像
%K regularization
%K adaptive
%K based
%K restoration
%K 视觉效果
%K 峰值信噪比
%K 高分辨率图像
%K 边缘信息
%K 算法
%K 结果
%K 实验
%K 质量
%K 求解
%K 估计
%K 分布参数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=D1F0596F6A7BFC43&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=F3090AE9B60B7ED1&sid=04445C1D2BDA24EE&eid=E2546871E5B846EF&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10