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基于多尺度顶帽变换的红外热图像熵与对比度增强

Entropy and Contrast Enhancement of Infrared Thermal Images Using the Multiscale Top-Hat Transform.

作者信息

Mello Román Julio César, Vázquez Noguera José Luis, Legal-Ayala Horacio, Pinto-Roa Diego P, Gomez-Guerrero Santiago, García Torres Miguel

机构信息

Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.

Division of Computer Science, Universidad Pablo de Olavide, ES-41013 Seville, Spain.

出版信息

Entropy (Basel). 2019 Mar 4;21(3):244. doi: 10.3390/e21030244.

DOI:10.3390/e21030244
PMID:33266959
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7514725/
Abstract

Discrete entropy is used to measure the content of an image, where a higher value indicates an image with richer details. Infrared images are capable of revealing important hidden targets. The disadvantage of this type of image is that their low contrast and level of detail are not consistent with human visual perception. These problems can be caused by variations of the environment or by limitations of the cameras that capture the images. In this work we propose a method that improves the details of infrared images, increasing their entropy, preserving their natural appearance, and enhancing contrast. The proposed method extracts multiple features of brightness and darkness from the infrared image. This is done by means of the multiscale top-hat transform. To improve the infrared image, multiple scales are added to the bright areas and multiple areas of darkness are subtracted. The method was tested with 450 infrared thermal images from a public database. Evaluation of the experimental results shows that the proposed method improves the details of the image by increasing entropy, also preserving natural appearance and enhancing the contrast of infrared thermal images.

摘要

离散熵用于衡量图像的内容，其中较高的值表示具有更丰富细节的图像。红外图像能够揭示重要的隐藏目标。这类图像的缺点是其低对比度和细节水平与人类视觉感知不一致。这些问题可能由环境变化或捕获图像的相机的局限性引起。在这项工作中，我们提出了一种方法，该方法可以改善红外图像的细节，增加其熵，保持其自然外观并增强对比度。所提出的方法从红外图像中提取亮度和暗度的多个特征。这是通过多尺度顶帽变换来完成的。为了改善红外图像，在明亮区域添加多个尺度并减去多个暗度区域。该方法用来自公共数据库的450张红外热图像进行了测试。实验结果评估表明，所提出的方法通过增加熵来改善图像细节，同时保持自然外观并增强红外热图像的对比度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/29806e707b5e/entropy-21-00244-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/9c5893c20f76/entropy-21-00244-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/4a7cde676809/entropy-21-00244-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/a8991acc11a4/entropy-21-00244-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/98fb07c16127/entropy-21-00244-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/0fa20c853c11/entropy-21-00244-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/395de362ff29/entropy-21-00244-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/6fefbbea254d/entropy-21-00244-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/815eec8ae4f1/entropy-21-00244-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/69e43f59b230/entropy-21-00244-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/29806e707b5e/entropy-21-00244-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/9c5893c20f76/entropy-21-00244-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/4a7cde676809/entropy-21-00244-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/a8991acc11a4/entropy-21-00244-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/98fb07c16127/entropy-21-00244-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/0fa20c853c11/entropy-21-00244-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/395de362ff29/entropy-21-00244-g006a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/6fefbbea254d/entropy-21-00244-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/815eec8ae4f1/entropy-21-00244-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/69e43f59b230/entropy-21-00244-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f2f2/7514725/29806e707b5e/entropy-21-00244-g010.jpg

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