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

万昕; 刘坤; 崔昌浩

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

万昕¹,
刘坤^2, ,,
崔昌浩²

1.
武汉市第三医院放射科, 湖北武汉 430000
2.
武汉高德智感科技有限公司, 湖北武汉 430000

详细信息

作者简介:
万昕（1993-），男，湖北广水人，硕士，主管技师，主要从事图像算法的研究

通讯作者:
刘坤（1992-），男，湖北武汉人，硕士，算法工程师，主要从事图像算法的研究。E-mail: 271581673@qq.com

中图分类号: TN911.73
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- 文章访问数: 30
- HTML全文浏览量: 10
- PDF下载量: 9
- 被引次数: 0
出版历程
- 收稿日期: 2023-04-09
- 修回日期: 2024-04-08
- 刊出日期: 2024-04-20

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

WAN Xin¹,
LIU Kun^{2
, ,},
CUI Changhao²

1.
Department of Radiology, Wuhan Third Hospital, Wuhan 430000, China
2.
Wuhan Guide Sensmart Tech Co. Ltd., Wuhan 430000, China

摘要

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。
- 红外图像 /
- 梯度直方图均衡化 /
- 双Gamma映射
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.
- infrared image /
- gradient histogram equalization /
- dual Gamma mapping

HTML全文

图 1 直方图与梯度直方图对比

Figure 1. Comparison of histogram with gradient histogram

下载: 全尺寸图片幻灯片

图 2 室内梯度直方图效果

Figure 2. Result of GHE

下载: 全尺寸图片幻灯片

图 3 不同gamma值下的映射曲线

Figure 3. Mapping curves with different gamma values

下载: 全尺寸图片幻灯片

图 4 直方图均衡化和梯度直方图均衡化效果对比

Figure 4. Comparison of HE result with GHE result

下载: 全尺寸图片幻灯片

图 5 噪声抑制效果对比

Figure 5. Comparison of noise suppression result

下载: 全尺寸图片幻灯片

图 6 室外双Gamma映射效果对比

Figure 6. Comparison of dual Gamma mapping

下载: 全尺寸图片幻灯片

图 7 室内双Gamma映射效果对比

Figure 7. Comparison of dual Gamma mapping

下载: 全尺寸图片幻灯片

表 1 两种算法对比度对比

Table 1. Comparison of HE with GHE

Algorithms Sky Architecture Picture

HE 3.74 54.33 74.14

GHE 0.19 123.96 98.19

下载: 导出CSV

参考文献(14)

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