计算机科学 ›› 2009, Vol. 36 ›› Issue (10): 262-264.

• 图形图像及体系结构 • 上一篇    下一篇

基于Haar小波变换高频特征的图像质量评价算法

吉国力,倪晓明   

  1. (厦门大学信息与科学技术学院自动化系 厦门 361005)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(60774033),高等教育博士点特殊基金(20070384003)资助。

Image Quality Assessment Algorithm Based on High Frequency Band of Haar Wavelet Transform

JI Guo-li , NI Xiao-ming   

  • Online:2018-11-16 Published:2018-11-16

摘要: 在分析人类视觉系统(HVS)特性的基础上,提出一种基于Haar小波变换高频特征的图像质量评价算法( CSSIM)。此方法首先将图像进行小波变换得到不同方向和不同频率的4个频带划分,在3个高频频带比较边缘结构信息上根据人类视觉系统特性,赋予3个频带比较结果相应视觉权重值,最终得到归一化的图像质量评价指标CSSIM。通过非线性回归拟合分析,证明了提出的算法(CSSIM)相对图像结构相似度评价算法(MSSIM)及其改进算法(MGSSIM)更符合人类的主观视觉感受。

关键词: 结构相似性,小波变换,人类视觉系统

Abstract: This paper proposed a image duality assessment algorithm based on wavelet transform. Here, both reference and test images were decomposed into four bands: LL, HL, LH and HH. The edge structure information similarity was obtained on other three bands, then we got a universal image quality assessment result(CSSIM) with weights based on the human property. The proposed metric performs better than MSSIM and MUSSIM by providing larger correlation coefficients and smaller errors after nonlinear regression fitting.

Key words: Structural similarity, Wavelet transform, HVS

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