基于CIELab和HIS空间的声呐图像伪彩色增强方法及质量评价  

Pseudo-color Enhancement Methods and Quality Evaluation of Sonar Image Based on the CIELab Color Space and HIS Color Space

作　　者：李秋菊 徐海平 苟春 LI Qiu-ju;XU Hai-ping;GOU Chun(Kunming Branch of the 705 Research Institute,China State Shipbuilding Corporation Limited,Kunming 650106,China)

机构地区：[1]中国船舶集团有限公司第705研究所昆明分部,云南昆明650106

出　　处：《水下无人系统学报》2022年第2期204-208,230,共6页Journal of Unmanned Undersea Systems

摘　　要：现有声呐图像伪彩色增强方法只涉及到RGB颜色空间和HSV颜色空间。因此,文中提出2种涉及CIELab空间和HIS空间的声呐图像伪彩色增强方法,并对其增强后的图像进行质量评价。首先提出一种基于CIELab空间的声呐图像伪彩色增强方法,该方法实时性好,图像清晰,层次丰富。而后结合大津法,根据声呐图像的灰度分布特性,提出一种基于HIS空间的自适应声呐图像伪彩色增强方法,该方法自适应性强,处理后的图像信息丰富。最后,采用2种客观质量评价方法联合主观评价,验证了文中2种增强方法的有效性。At present, pseudo-color enhancement methods for sonar images are based only on the RGB and HSV color spaces. To this end, two novel sonar image pseudo-color enhancement methods based on the CIELab color space and HIS color space are introduced in this study. The quality of the enhanced images obtained by the two methods was evaluated. First, a novel pseudo-color real-time enhancement method based on the CIELab color space is proposed. The enhanced image obtained using this method was clearer and had richer levels. Second, combined with the Otsu method and according to the grayscale distribution characteristics of sonar images, a novel adaptable pseudo-color enhancement method based on the HIS color space is introduced. This method has strong adaptability, and the enhanced image obtained using this method is information-rich. Finally, two objective evaluation methods were used to verify the effectiveness of the enhancement methods in conjunction with the subjective evaluation method.

关 键 词：声呐图像 伪彩色增强 CIELab空间 HIS空间 质量评价 

分 类 号：TJ630.34[兵器科学与技术—武器系统与运用工程] U675.81[交通运输工程—船舶及航道工程]