| 数字图像的质量评估 |
| |
| 引用本文： | 王进,李俐莹,王万,王正友. 数字图像的质量评估[J]. 河北省科学院学报, 2013, 30(2): 30-34,39 |
| |
| 作者姓名： | 王进 李俐莹 王万 王正友 |
| |
| 作者单位： | 石家庄铁道大学信息科学与技术学院,河北石家庄,050043 |
| |
| 基金项目： | 国家自然科学基金资助项目(60963011) |
| |
| 摘 要： | 围绕数字图像的质量评估,进行了简要综述。分析了主观评估和客观评估各自的优缺点,回顾了传统的全参考图像质量评估方法;介绍了已广泛用于客观质量评估的人类视觉特性与感兴趣区域;列举并评述了2类代表性的全参考质量评估模型SSIM和FSIM;总结了无参考质量评估的一些特点和动向;最后对该领域未来的研究方向进行了展望。
|
| 关 键 词： | 数字图像 质量评估 视觉感知 全参考 无参考 |
Digital image quality assessment |
| |
| WANG Jin , LI Li-ying , WANG Wan , WANG Zheng-you. Digital image quality assessment[J]. Journal of The Hebei Academy of Sciences, 2013, 30(2): 30-34,39 |
| |
| Authors: | WANG Jin LI Li-ying WANG Wan WANG Zheng-you |
| |
| Affiliation: | (School of Information Science and Technology,Shijiazhuang Tiedao University,Shijiazhuang Hebei 050043,China) |
| |
| Abstract: | Around the digital image quality assessment,this paper presents a brief overview.Firstly,the paper analyzes the subjective/objective assessment assessment methods and their advantages/disadvantages respectively,and reviews the traditional full-reference quality metrics.Then the paper describes human visual system（HVS） and region of interest,which have been widely used in the objective quality assessment;Lists and reviews the two classes of representative full-reference quality assessment models： structural similarity（SSIM） and feature similarity（FSIM）;Summarizes the Characteristics and trends of no-reference image assessment.And finally,the paper prospects future work in this field. |
| |
| Keywords: | Digital image Quality assessment Visual perception Full-reference No-reference |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
