Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement
Images captured at night with low-light conditions frequently have a loss of visible details, inadequate contrast, low brightness, and noise. Therefore, it is difficult to perceive, extract, and analyze important visual information from these images, unless they were properly processed. Di...
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Mosul University
2022-06-01
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| Series: | Al-Rafidain Journal of Computer Sciences and Mathematics |
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| Online Access: | https://csmj.mosuljournals.com/article_174407_965de3cf725c749332f6f7f0056996dc.pdf |
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| _version_ | 1849404127202770944 |
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| author | Mohammad Ismail Zohair Al-Ameen |
| author_facet | Mohammad Ismail Zohair Al-Ameen |
| author_sort | Mohammad Ismail |
| collection | DOAJ |
| description | Images captured at night with low-light conditions frequently have a loss of visible details, inadequate contrast, low brightness, and noise. Therefore, it is difficult to perceive, extract, and analyze important visual information from these images, unless they were properly processed. Different algorithms exist to process nighttime images, yet most of these algorithms are highly complex, generate processing artifacts, over-smooth the images, or do not improve the illumination adequately. Thus, the single scale retinex (SSR) algorithm is adopted in this study to provide better processing for nighttime images. The proposed algorithm starts by converting the color image from the RGB model to the HSV model and enhancing the V channel only while preserving the H and S channels. Then, it determined the image’s illuminated version somewhat like the SSR, computes the logarithms of the illuminated and original images, then subtracts these two images by utilizing an altered procedure. Next, a modified gamma-adjusted Rayleigh distribution function is applied, and its outcome is processed once more by an automatic linear contrast stretching approach to produce the processed V channel that will be utilized with the preserved H and S channels to generate the output RGB image. The developed algorithm is assessed using a real dataset of nighttime images, evaluated using three dedicated image evaluation methods, and compared to ten dissimilar contemporary algorithms. The obtained results demonstrated that the proposed algorithm can significantly improve the perceptual quality of nighttime images and suppress artifact generation rapidly and efficiently, in addition to showing the ability to surpass the performance of different existing algorithms subjectively and objectively. |
| format | Article |
| id | doaj-art-99024ecd28994aba9b049bada80a4daa |
| institution | Kabale University |
| issn | 1815-4816 2311-7990 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | Mosul University |
| record_format | Article |
| series | Al-Rafidain Journal of Computer Sciences and Mathematics |
| spelling | doaj-art-99024ecd28994aba9b049bada80a4daa2025-08-20T03:37:05ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902022-06-01161596910.33899/csmj.2022.174407174407Adapted Single Scale Retinex Algorithm for Nighttime Image EnhancementMohammad Ismail0Zohair Al-Ameen1Department of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Nineveh, IraqDepartment of Computer Science, College of Computer Science and Mathematics, University of Mosul, Mosul, Iraq Images captured at night with low-light conditions frequently have a loss of visible details, inadequate contrast, low brightness, and noise. Therefore, it is difficult to perceive, extract, and analyze important visual information from these images, unless they were properly processed. Different algorithms exist to process nighttime images, yet most of these algorithms are highly complex, generate processing artifacts, over-smooth the images, or do not improve the illumination adequately. Thus, the single scale retinex (SSR) algorithm is adopted in this study to provide better processing for nighttime images. The proposed algorithm starts by converting the color image from the RGB model to the HSV model and enhancing the V channel only while preserving the H and S channels. Then, it determined the image’s illuminated version somewhat like the SSR, computes the logarithms of the illuminated and original images, then subtracts these two images by utilizing an altered procedure. Next, a modified gamma-adjusted Rayleigh distribution function is applied, and its outcome is processed once more by an automatic linear contrast stretching approach to produce the processed V channel that will be utilized with the preserved H and S channels to generate the output RGB image. The developed algorithm is assessed using a real dataset of nighttime images, evaluated using three dedicated image evaluation methods, and compared to ten dissimilar contemporary algorithms. The obtained results demonstrated that the proposed algorithm can significantly improve the perceptual quality of nighttime images and suppress artifact generation rapidly and efficiently, in addition to showing the ability to surpass the performance of different existing algorithms subjectively and objectively.https://csmj.mosuljournals.com/article_174407_965de3cf725c749332f6f7f0056996dc.pdfimage enhancementnighttime imagesingle scale retinexstatistical methodsssrhsv |
| spellingShingle | Mohammad Ismail Zohair Al-Ameen Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement Al-Rafidain Journal of Computer Sciences and Mathematics image enhancement nighttime image single scale retinex statistical methods ssr hsv |
| title | Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement |
| title_full | Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement |
| title_fullStr | Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement |
| title_full_unstemmed | Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement |
| title_short | Adapted Single Scale Retinex Algorithm for Nighttime Image Enhancement |
| title_sort | adapted single scale retinex algorithm for nighttime image enhancement |
| topic | image enhancement nighttime image single scale retinex statistical methods ssr hsv |
| url | https://csmj.mosuljournals.com/article_174407_965de3cf725c749332f6f7f0056996dc.pdf |
| work_keys_str_mv | AT mohammadismail adaptedsinglescaleretinexalgorithmfornighttimeimageenhancement AT zohairalameen adaptedsinglescaleretinexalgorithmfornighttimeimageenhancement |