摘要
由于传统的基于插值的图像超分辨率算法容易使图像的边缘部分出现模糊或过度平滑的现象,对此提出一个仅沿图像边缘方向进行插值的算法,使垂直于边缘方向上的像素点不参与插值和滤波,从而减少图像过度平滑的几率。该算法首先检测图像的边缘,然后对边缘点沿量化的边缘方向进行三次样条(cubic spline)插值;对平滑点,先用双立方(bi-cubic)插值算法进行插值,再用各向异性算子进行滤波。实验表明,所提出算法的性能好于原有的超分辨率插值算法。
Since the blur and the over-smooth phenomenons often appears in the traditional interpolation-based image super-resolution algorithms in the literature,a new super-resolution algorithm is proposed,which only interpolates the pixels alongthe edge direction.In this way,the pixels lying perpendicular to the image edges do not participate in the interpolation and filtering,so that the over-smooth occurring probability can be reduced.In this algorithm,the image edges are firstly detected.Then,the cubic spline interpolation is carried out along the image edge direction for the edge pixels,and the bi-cubic interpolationand an-isotropic filtering are carried out for the smooth pixels.Experimental results show that the proposed algorithm performsbetter than the original interpolation-based super-resolution algorithms.
作者
端木春江
左德遥
赵頔
Duanmu Chunjiang;Zuo Deyao;Zhao Di(Zhejiang Normal University, Jinhua, Zhejiang 321004, China)
出处
《计算机时代》
2018年第3期1-3,共3页
Computer Era
基金
浙江省自然科学基金项目"单幅图像超分辨率处理的高清晰度技术的研究"(LY15F010007)
多进制域高维核矩阵信道极化码设计与译码算法优化研究(LY18F010017)
关键词
图像处理
图像超分辨率
图像放大
图像插值
image processing
image super-resolution
image magnification
image interpolation
