纹理细节保持的图像插值算法

计算机科学 ›› 2019, Vol. 46 ›› Issue (6A): 169-176.

纹理细节保持的图像插值算法

宋刚^1,2, 杜宏伟^1,2, 王平^1,2, 刘新新^1,2, 韩慧健^1,3

山东财经大学计算机科学与技术学院济南250014¹;
山东省数字媒体技术重点实验室济南250014²;
山东省信息可视化与计算经济工程技术研究中心济南250014³

出版日期:2019-06-14 发布日期:2019-07-02
通讯作者: 宋刚(1993-),男,硕士,主要研究方向为机器学习,E-mail:hongweidumr@163.com
作者简介:杜宏伟(1992-),男,硕士,主要研究方向为图像处理;王平(1994-),女,硕士,主要研究方向为图像处理;刘新新(1994-),女,硕士,主要研究方向为机器学习;韩慧健(1971-),男,博士,教授,主要研究方向为CG&CAGD、计算机游戏与动画、复杂系统仿真等。
基金资助:
本文受国家自然科学基金(61772309,61672018),山东省自然基金(2017GGX10109,2016GSF120013,ZR2011FM025)资助。

Texture Detail Preserving Image Interpolation Algorithm

SONG Gang^1,2, DU Hong-wei^1,2, WANG Ping^1,2, LIU Xin-xin^1,2, HAN Hui-jian^1,3

School of Computer Science and Technology,Shandong University of Finance and Economics,Jinan 250014,China¹;
Shandong Provincial Key Laboratory of Digital Media Technology,Jinan 250014,China²;
Shandong Provincial Information Visualization and Research Centre in Computing Economic Engineering Technology,Jinan 250014,China³

Online:2019-06-14 Published:2019-07-02

摘要/Abstract

摘要： 保持图像纹理细节一直是图像插值的难题。针对图像重建过程中细节信息丢失的问题,提出一种纹理细节保持的图像插值算法。首先,利用等值线方法将图像划分为纹理区域和平滑区域;然后,构造一类C²连续的有理插值模型,它是多项式模型和有理模型的有机统一体,根据图像的区域特征,纹理区域采用有理模型插值,平滑区域采用多项式模型插值;最后,基于人眼视觉感知系统,提出一种多尺度细节增强方法来丰富插值图像的信息。实验表明,所提算法不仅有较低的时间复杂度,还能有效保持图像的纹理细节,获得较高的客观评价数据。

关键词: 等值线方法, 多尺度细节增强, 图像插值, 自适应区域划分

Abstract: It is difficult to maintain the image texture details in image interpolation technology.To overcome this problem,this paper proposed a new method of image interpolation based on rational interpolation function.Firstly,image is automatically divided into texture regions and smooth regions using the isoline method.Secondly,a new type of C²-continuous rational interpolation function is constructed,which is an organic unity of polynomial models and rational mo-dels.According to regional features of the image,the texture region is interpolated by rational model and the smooth region is interpolated by polynomial model.Finally,based on the human visual system,this paper proposed a multi-scale approach to boost details of interpolated image.Experimental results show that this algorithm not only has lower time complexity,but also can preserve image detail,and obtain high objective evaluation data.

Key words: Adaptive region division, Image interpolation, Isoline method, Multi-scale detail enhancement

中图分类号:

TP391

宋刚, 杜宏伟, 王平, 刘新新, 韩慧健. 纹理细节保持的图像插值算法[J]. 计算机科学, 2019, 46(6A): 169-176. https://doi.org/

SONG Gang, DU Hong-wei, WANG Ping, LIU Xin-xin, HAN Hui-jian. Texture Detail Preserving Image Interpolation Algorithm[J]. Computer Science, 2019, 46(6A): 169-176. https://doi.org/

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