Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images
Low-contrast images are viewed with obscured details and are unfavorable to the observer. Hence, it is a necessity to process such an effect efficiently to get images with lucid details as the need for clear images become a global demand. Therefore, a statistics-based algorithm of simple c...
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| Format: | Article |
| Language: | English |
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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_174410_e37e1adff2cc4cebbe7bee2865a7cacb.pdf |
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| author | Ahmed Mohammed Zohair Al-Ameen |
| author_facet | Ahmed Mohammed Zohair Al-Ameen |
| author_sort | Ahmed Mohammed |
| collection | DOAJ |
| description | Low-contrast images are viewed with obscured details and are unfavorable to the observer. Hence, it is a necessity to process such an effect efficiently to get images with lucid details as the need for clear images become a global demand. Therefore, a statistics-based algorithm of simple complexity is introduced in this research to process color and grayscale images with low contrast. The proposed algorithm consists of five stages, where the first and second stages include the use of two different statistical s-curve transformations, the third stage combines the outputs of the aforesaid stage, the fourth stage improves the brightness, and the fifth stage reallocates the pixels to the natural interval. The proposed algorithm is compared with six modern algorithms, and the outputs are evaluated using two no-reference methods. The obtained results show that the proposed algorithm performed the best, providing the highest image evaluation readings and it was the fastest among the comparison methods. |
| format | Article |
| id | doaj-art-daf23e5409834daaaf67e545582df169 |
| institution | DOAJ |
| 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-daf23e5409834daaaf67e545582df1692025-08-20T03:03:42ZengMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902022-06-01161718010.33899/csmj.2022.174410174410Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color ImagesAhmed Mohammed0Zohair 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 Low-contrast images are viewed with obscured details and are unfavorable to the observer. Hence, it is a necessity to process such an effect efficiently to get images with lucid details as the need for clear images become a global demand. Therefore, a statistics-based algorithm of simple complexity is introduced in this research to process color and grayscale images with low contrast. The proposed algorithm consists of five stages, where the first and second stages include the use of two different statistical s-curve transformations, the third stage combines the outputs of the aforesaid stage, the fourth stage improves the brightness, and the fifth stage reallocates the pixels to the natural interval. The proposed algorithm is compared with six modern algorithms, and the outputs are evaluated using two no-reference methods. The obtained results show that the proposed algorithm performed the best, providing the highest image evaluation readings and it was the fastest among the comparison methods.https://csmj.mosuljournals.com/article_174410_e37e1adff2cc4cebbe7bee2865a7cacb.pdfcontrast enhancement, color image, grayscale image, hyperbolic tangent, kumaraswamy distribution, logistic distribution, normalizationpătraşcu model |
| spellingShingle | Ahmed Mohammed Zohair Al-Ameen Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images Al-Rafidain Journal of Computer Sciences and Mathematics contrast enhancement, color image, grayscale image, hyperbolic tangent, kumaraswamy distribution, logistic distribution, normalization pătraşcu model |
| title | Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images |
| title_full | Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images |
| title_fullStr | Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images |
| title_full_unstemmed | Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images |
| title_short | Non-Complex Statistics-Driven Algorithm for Enhancement of Grayscale and Color Images |
| title_sort | non complex statistics driven algorithm for enhancement of grayscale and color images |
| topic | contrast enhancement, color image, grayscale image, hyperbolic tangent, kumaraswamy distribution, logistic distribution, normalization pătraşcu model |
| url | https://csmj.mosuljournals.com/article_174410_e37e1adff2cc4cebbe7bee2865a7cacb.pdf |
| work_keys_str_mv | AT ahmedmohammed noncomplexstatisticsdrivenalgorithmforenhancementofgrayscaleandcolorimages AT zohairalameen noncomplexstatisticsdrivenalgorithmforenhancementofgrayscaleandcolorimages |