计算机应用 ›› 2016, Vol. 36 ›› Issue (6): 1673-1676.DOI: 10.11772/j.issn.1001-9081.2016.06.1673

• 虚拟现实与数字媒体 • 上一篇    下一篇

色彩复原图像的质量评价方法

李娜1,2, 周蓬勃3, 耿国华1, 贾晖1,4   

  1. 1. 西北大学 信息科学与技术学院, 西安 710127;
    2. 西安科技大学 计算机科学与技术学院, 西安 710054;
    3. 北京师范大学 艺术与传媒学院, 北京 100875;
    4. 西安邮电大学 计算机学院, 西安 710121
  • 收稿日期:2015-11-17 修回日期:2016-02-01 出版日期:2016-06-10 发布日期:2016-06-08
  • 通讯作者: 李娜
  • 作者简介:李娜(1981-),女,陕西蒲城人,博士,CCF会员,主要研究方向:可视化技术、人工智能;周蓬勃(1984-),男,陕西西安人,讲师,博士研究生,主要研究方向:数字媒体、虚拟现实;耿国华(1955-),女,山东莱西人,教授,博士生导师,博士,CCF高级会员,主要研究方向:科学计算可视化、模式识别、智能信息处理;贾晖(1978-),女,陕西西安人,讲师,博士,主要研究方向:可视化技术。
  • 基金资助:
    国家自然科学基金资助项目(61373117);陕西省教育厅产业化培育项目(2012JC24);陕西省教育厅专项科研计划项目(15JK1656)。

Quality evaluation method for color restoration image

LI Na1,2, ZHOU Pengbo3, GENG Guohua1, JIA Hui1,4   

  1. 1. School of Information and Technology, Northwest University, Xi'an Shaanxi 710127, China;
    2. College of Computer Science and Technology, Xi'an University of Science and Technology, Xi'an Shaanxi 710054;
    3. School of Art and Communication, Beijing Normal University, Beijing 100875, China;
    4. School of Computer Science and Technology, Xi'an University of Posts and Telecommunications, Xi'an Shaanxi 710121, China
  • Received:2015-11-17 Revised:2016-02-01 Online:2016-06-10 Published:2016-06-08
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61373117), the Education Industrialization Project of Education Department of Shaanxi Province (2012JC24), the Special Research Project of Education Department of Shaanxi Province (15JK1656).

摘要: 针对褪色文物数字化保护中色彩复原图像的质量评价问题,研究客观质量评价方法。结合峰值信噪比(PSNR)的计算优势与人眼视觉特征信息熵的结构特性,提出一种基于视觉特征信息熵的彩色图像质量评价方法。该方法建立带权值的质量评价函数和对应评价算法流程,利用归一化方法确定权值。通过评价算法流程计算复原的彩色图像与参考彩色图像的函数值,比较两者的相似程度。值越小,代表相似度越高,对应的复原彩色图像质量越好,以此客观判断色彩复原方法的优劣。实验通过四种性能差异复原方法的质量评价参数比较,表明评价结果与人眼视觉主观感受相一致,验证了所提方法的有效性。

关键词: 图像质量评价, 人眼视觉特征, 峰值信噪比, 相似度, 色彩复原, 色彩纹理

Abstract: Aiming at the problem of quality evaluation of color restoration image for digital protection of faded cultural relics, the objective quality evaluation methods were researched. Combined the computational advantage of Peak Signal-to-Noise Ratio (PSNR) and structure characteristic of human visual feature information entropy, a color image quality evaluation method was proposed based on information entropy of visual features. A quality evaluation function with weights and the corresponding evaluation algorithm process were established, and the weights were determined by normalization method. Then the function value for comparing the similarity between the color restoration image and the reference color image was calculated by using the evaluation algorithm process. The smaller the value was, the higher the similarity was, and the better the corresponding color restoration image quality was, which could be used for the objective judgement of color restoration method. The quality evaluation parameters of four different performance restoration methods were compared. The experimental results show that, the evaluation results are consistent with the subjective perception of human eyes, and the proposed method is effective.

Key words: image quality evaluation, human visual feature, Peak Signal-to-Noise Ratio (PSNR), similarity, color restoration, color texture

中图分类号: