Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images
Infrared images have the advantages of being employed in all weather conditions and exhibiting strong anti-interference abilities and are widely used in many fields. However, there are also problems of low contrast, high noise and blurred details, for which a high dynamic infrared image enhancement...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/23/12649 |
| _version_ | 1797400482389426176 |
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| author | Duo Zhang Yinnian Liu Yun Zhao Jian Liang Boyuan Sun Shibing Chu |
| author_facet | Duo Zhang Yinnian Liu Yun Zhao Jian Liang Boyuan Sun Shibing Chu |
| author_sort | Duo Zhang |
| collection | DOAJ |
| description | Infrared images have the advantages of being employed in all weather conditions and exhibiting strong anti-interference abilities and are widely used in many fields. However, there are also problems of low contrast, high noise and blurred details, for which a high dynamic infrared image enhancement method based on wavelet transform is proposed. First, multi-resolution analysis is performed using wavelet transform, and the image is decomposed into a low-frequency information layer and high-frequency information layer, which are processed separately. The low-frequency information layer is subjected to contrast-constrained adaptive histogram equalisation to improve the contrast. The high-frequency information layer is enhanced with adaptive coefficients, and the gain coefficients are determined using gamma transform, which is designed to increase the applicability. Wavelet inverse transform is performed on the processed image to meet the desired requirements. It is shown that the algorithm can effectively enhance the high dynamic image contrast and improve the image detail information. |
| first_indexed | 2024-03-09T01:56:09Z |
| format | Article |
| id | doaj.art-d303eafedd4d41d2a9a84c08ce275848 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T01:56:09Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-d303eafedd4d41d2a9a84c08ce2758482023-12-08T15:11:16ZengMDPI AGApplied Sciences2076-34172023-11-0113231264910.3390/app132312649Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared ImagesDuo Zhang0Yinnian Liu1Yun Zhao2Jian Liang3Boyuan Sun4Shibing Chu5School of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaShanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, ChinaNantong Intelligent Sensing Research Institute, Nantong 226010, ChinaNantong Intelligent Sensing Research Institute, Nantong 226010, ChinaSchool of Physics and Electronic Engineering, Jiangsu University, Zhenjiang 212013, ChinaInfrared images have the advantages of being employed in all weather conditions and exhibiting strong anti-interference abilities and are widely used in many fields. However, there are also problems of low contrast, high noise and blurred details, for which a high dynamic infrared image enhancement method based on wavelet transform is proposed. First, multi-resolution analysis is performed using wavelet transform, and the image is decomposed into a low-frequency information layer and high-frequency information layer, which are processed separately. The low-frequency information layer is subjected to contrast-constrained adaptive histogram equalisation to improve the contrast. The high-frequency information layer is enhanced with adaptive coefficients, and the gain coefficients are determined using gamma transform, which is designed to increase the applicability. Wavelet inverse transform is performed on the processed image to meet the desired requirements. It is shown that the algorithm can effectively enhance the high dynamic image contrast and improve the image detail information.https://www.mdpi.com/2076-3417/13/23/12649high dynamic infrared image enhancementwavelet transformimage contrast enhancementimage detail enhancement |
| spellingShingle | Duo Zhang Yinnian Liu Yun Zhao Jian Liang Boyuan Sun Shibing Chu Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images Applied Sciences high dynamic infrared image enhancement wavelet transform image contrast enhancement image detail enhancement |
| title | Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images |
| title_full | Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images |
| title_fullStr | Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images |
| title_full_unstemmed | Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images |
| title_short | Algorithm Research on Detail and Contrast Enhancement of High Dynamic Infrared Images |
| title_sort | algorithm research on detail and contrast enhancement of high dynamic infrared images |
| topic | high dynamic infrared image enhancement wavelet transform image contrast enhancement image detail enhancement |
| url | https://www.mdpi.com/2076-3417/13/23/12649 |
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