一种基于Sobel梯度的直方图均衡算法及其在红外图像上的应用

Histogram Equalization Algorithm Based on Sobel Gradient and Its Application on Infrared Images

  • 摘要: 为了能在动态范围压缩的同时增强红外图像的对比度,提出了一种基于Sobel梯度直方图均衡算法(gradient histogram equalization,GHE)。与以往的直方图均衡化(histogram equalization,HE)方法不同,该方法自适应地为图像强梯度的灰阶分配高对比度,保留并增强16 bit图像中更多的细节。随后使用双Gamma映射对映射曲线进行调整,有效地抑制图像亮部的过曝现象,同时提高暗部的细节。该方法相比于传统的直方图均衡化算法在暗区细节处理、过曝抑制、对比度增强等方面都有较好的效果。

     

    Abstract: A Sobel gradient histogram equalization(GHE) algorithm is proposed to enhance the contrast of infrared images during dynamic range compression. In contrast to previous histogram equalization(HE) methods, this method adaptively assigns a high contrast to the strongly graded parts of the image, preserving and enhancing more details in the 16-bit image. Dual Gamma mapping is then used to adjust the mapping curve to effectively suppress overexposure in the bright parts of the image while improving the detail in the shadows. Compared with the traditional histogram equalization algorithm, this method has better effects on dark area detail processing, overexposure suppression, and contrast enhancement.

     

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