摘要
分析了当前主要的高清晰度图像插值放大方法,为实现快速放大而选择了基于图像轮廓插值改善清晰度的技术路线,并在已有算法的基础上开展了进一步的研究。提出了新的图像轮廓线光顺数值算法,对轮廓线划分的两类子区域提出了精度更高的插值算法。最后,以典型平面图形的图像和由3DM ax生成的三维渲染图像为例对本文方法进行检验,与双线性插值结果的对比说明,该方法可以明显改善插值放大效果。
Fast image magnification methods can keep a high resolution, thus they are very important in real-time display of 3D movies. The interpolation based on the refinement of shape-pr0files is adopted for image magnifications as fast as possible, by analyzing main advanced methods of image magnifications. To improve this method, a new algorithm for smoothness shape-profiles is studied by analogy the thermal diffusion. Moreover, the interpolation based on such smoothed profiles is improved with the higher accuracy. Image magnification cases including images after 3D rendering by 3DMax, show that the new method can quickly obtain magnified images with abviously better quality than Bi-linear interpolation.
出处
《南京航空航天大学学报》
EI
CAS
CSCD
北大核心
2007年第2期187-192,共6页
Journal of Nanjing University of Aeronautics & Astronautics
基金
教育部博士点基金(20030287008)资助项目
关键词
图像放大
图像轮廓
快速插值
光顺
image magnification
profiles on images
fast interpolation
smoothness
