Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
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| _version_ | 1866909213819666432 |
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| author | Ambalathankandy, Prasoon Ou, Yafei Ikebe, Masayuki |
| author_facet | Ambalathankandy, Prasoon Ou, Yafei Ikebe, Masayuki |
| contents | Halo artifacts significantly impact display quality. We propose a method to reduce halos in Local Histogram Equalization (LHE) algorithms by separately addressing dark and light variants. This approach results in visually natural images by exploring the relationship between lateral inhibition and halo artifacts in the human visual system. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_06212 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling Ambalathankandy, Prasoon Ou, Yafei Ikebe, Masayuki Computer Vision and Pattern Recognition Image and Video Processing I.4.3 Halo artifacts significantly impact display quality. We propose a method to reduce halos in Local Histogram Equalization (LHE) algorithms by separately addressing dark and light variants. This approach results in visually natural images by exploring the relationship between lateral inhibition and halo artifacts in the human visual system. |
| title | Halo Reduction in Display Systems through Smoothed Local Histogram Equalization and Human Visual System Modeling |
| topic | Computer Vision and Pattern Recognition Image and Video Processing I.4.3 |
| url | https://arxiv.org/abs/2402.06212 |