Journal of Computer Applications ›› 2017, Vol. 37 ›› Issue (2): 559-563.DOI: 10.11772/j.issn.1001-9081.2017.02.0559

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Increasing fusion image spectral fidelity by using midway histogram equalization

ZHAO Liling1,2, SUN Quansen1   

  1. 1. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing Jiangsu 210094, China;
    2. School of Information and Control, Nanjing University of Information Science & Technology, Nanjing Jiangsu 210044, China
  • Received:2016-07-21 Revised:2016-08-30 Online:2017-02-10 Published:2017-02-11
  • Supported by:
    This work is partially supported by the National Natural Science Foundation of China (61273251).

通过直方图中轴化提高融合图像光谱保真度

赵丽玲1,2, 孙权森1   

  1. 1. 南京理工大学 计算机科学与工程学院, 南京 210094;
    2. 南京信息工程大学 信息与控制学院, 南京 210044
  • 通讯作者: 赵丽玲,ring_222@126.com
  • 作者简介:赵丽玲(1978-),女,吉林吉林人,讲师,博士研究生,CCF会员,主要研究方向:遥感图像处理、计算机视觉;孙权森(1963-),男,山东梁山人,教授,博士,CCF高级会员,主要研究方向:模式识别、图像处理、遥感信息系统。
  • 基金资助:
    国家自然科学基金资助项目(61273251)。

Abstract: To solve the problem of spectral distortion in remote sensing image fusion, an improved transform method based on midway image equalization was proposed. First, the multispectral image was decomposed by IHS (Intensity, Hue, Saturation) transform; then by using the midway image equalization, the cumulative histogram of panchromatic image and the spectral intensity component of multispectral image were adjusted to be the same; finally, the inverse transform of IHS was implemented and a high quality fusion image was obtained. The theoretical analysis and experimental results show that the proposed algorithm can not only suppress the spectral distortion of the fusion image, but also preserve the spatial resolution of the fusion image effectively, and it is simple and easy to implement. Compared with the traditional fusion algorithms such as IHS transform, Principal Component Analysis (PCA), Wavelet Transform (WT) and Brovey, the fusion images generated by the proposed algorithm have good visual effects; in addition, the proposed algorithm has better performance in terms of Peak-Signal-to-Noise Ratio (PSNR), spectral distortion and information entropy. Fusion images obtained by midway image equalization maintain spatial information well and have little spectral distortion.

Key words: remote sensing image fusion, spectral distortion, histogram, midway histogram equalization, IHS transform

摘要: 针对遥感图像融合过程中光谱失真问题,提出一种基于直方图中轴化策略的图像融合算法。首先,将多光谱图像进行IHS变换;然后,采用直方图中轴化策略调整多光谱图像强度分量图像和全色图像的像素直方图,使之趋于一致;最后,进行IHS反变换获得高质量的彩色图像。理论分析和实验结果表明,该算法不仅可以较好地抑制融合图像光谱失真,同时也能有效保留融合图像的空间分辨率,算法步骤简单、容易实现;与四种传统融合算法(IHS变换、主成分分析(PCA)法、小波变换(WT)法、Brovey)相比,该算法生成的融合图像具有良好的视觉效果,特别是在峰值信噪比(PSNR)、光谱扭曲度和信息熵等客观评价指标中明显优于对比算法。基于直方图中轴化策略融合的遥感图像光谱失真度小、空间信息保持度高。

关键词: 遥感图像融合, 光谱失真, 灰度直方图, 中轴化, IHS变换

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