Computer Engineering and Applications ›› 2020, Vol. 56 ›› Issue (9): 204-212.DOI: 10.3778/j.issn.1002-8331.1902-0187

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Human Visual Perception for Image Zooming

DU Hongwei, QIAO Meili, SONG Gang, ZHANG Yunfeng, BAO Fangxun   

  1. 1.School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, China
    2.Shandong Provincial Key Laboratory of Digital Media Technology, Jinan 250014, China
    3.Shandong Provincial Academy of Educational Recruitment and Examination, Jinan 250011, China
    4.School of Mathematics, Shandong University, Jinan 250100, China
  • Online:2020-05-01 Published:2020-04-29



  1. 1.山东财经大学 计算机科学与技术学院,济南 250014
    2.山东省数字媒体技术重点实验室,济南 250014
    3.山东省教育招生考试院,济南 250011
    4.山东大学 数学学院,济南 250100


In order to preserve image texture details and edge sharpness, a human visual perception adaptive image interpolation algorithm based on the rational function is proposed. A type of bivariate rational interpolation functions with adjustable parameters is constructed. The image edge regions can be detected adaptively by using isoline method. Selecting different parameters in the rational model, the smooth regions and edge regions are interpolated by polynomial interpolation and rational interpolation respectively. The optimal rational interpolation parameters can be obtained based on the contrast sensitivity enhancement of the human eyes. The objective image with higher resolution ratio than the original image is obtained by adaptive interpolation. Compared with the classical interpolation algorithm, the proposed method is highly competitive not only in PSNR and SSIM but also in visual effect. Experimental results illustrate that the proposed method offers a remarkable quality improvement both objectively and subjectively.

Key words: image zoom, adaptive image interpolation, regional division, isoline method, human visual perception



关键词: 图像放大, 自适应图像插值, 区域划分, 等值线方法, 视觉感知