摘要
为了改善超分辨率重建图像的效果,提出了一种新的基于小波-contourlet变换图像插值算法,能够有效避免重建图像边缘和轮廓的扭曲,提高图像目标边界的规律性。本算法是用基于小波变换线性插值作为重建初步估计,使用两个约束条件的迭代投影改善了图像的分辨率。实验结果表明,跟小波变换线性插值相比,本文提出的算法具有更好的效果,并能达到较高的信噪比。
In order to improve the superresolution of image,We present a novel image interpolation algorithm that uses the new wavelet-contourlet transform to avoid distorting edges and contours,and improve the regularity of object boundaries in the generated images. By using a simple waveletbased linear interpolation scheme as our initial estimate,we use an iterative projection process based on two constraints to drive our solution towards an improved high-resolution image. Experimental results show that the new algorithm brought forward in this paper has better performance than Wavelet linear interpolation and could achieve high PSNR.
出处
《微计算机信息》
2009年第34期24-25,48,共3页
Control & Automation
基金
河北省教育厅基金项目
基金申请人:焦斌亮
项目名称:星载CCD相机变分辨率成像技术研究
基金颁发部门:河北省教育厅(2007143)
