计算机科学 ›› 2018, Vol. 45 ›› Issue (8): 70-74.doi: 10.11896/j.issn.1002-137X.2018.08.012
陈莉莉1, 朱峰2, 盛斌3, 陈志华1
CHEN Li-li1, ZHU Feng2, SHENG Bin3, CHEN Zhi-hua1
摘要: 彩色图像质量的评价在图像数据的采集、压缩、存储、传输等方面具有重要意义。然而传统的评价方法往往因损失部分彩色信息或者忽略彩色图像的整体性,导致其结果不能很好地与主观结果保持一致,因此提出一种彩色图像客观质量评价方法。将彩色图像表示成四元数矩阵,并对其进行离散四元数傅里叶变换;根据人眼视觉系统特性对频域进行非均匀分块,计算失真图像和参考图像之间的幅值相似度和相位相似度;采用熵值法综合考虑两者对图像质量的影响,获得表示整体图像质量的指标。最后,使用图像数据库针对高斯模糊失真进行相关性分析,以验证方法的可行性和有效性。实验结果表明,客观评价能较好地与主观评价保持一致,且对于3个数据库的性能表现稳定,算法性能总体上优于对比方法。
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