Multiple clues inspired banding detector in high dynamic range videos
Abstract In this paper, a method for detecting banding artefacts in high‐dynamic‐range (HDR) videos is proposed. The proposed method is the first banding detector designed for HDR videos. To effectively detect banding artefacts, a multi‐scale banding detection strategy based on multiple visual clues...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-03-01
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| Series: | Electronics Letters |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/ell2.12443 |
| _version_ | 1811343669572141056 |
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| author | Shuhong Yuan Fei Zhou |
| author_facet | Shuhong Yuan Fei Zhou |
| author_sort | Shuhong Yuan |
| collection | DOAJ |
| description | Abstract In this paper, a method for detecting banding artefacts in high‐dynamic‐range (HDR) videos is proposed. The proposed method is the first banding detector designed for HDR videos. To effectively detect banding artefacts, a multi‐scale banding detection strategy based on multiple visual clues is proposed. Specifically, in each scale, the visually perceptual effects of banding artefacts are measured sequentially by luminance, edge strength, and edge length clues. All these clues are exploited by considering the properties of the human vision system and HDR videos. Experimental results show that our method can effectively detect banding artefacts and provide banding visibility maps that highly match the human visual perception. |
| first_indexed | 2024-04-13T19:34:02Z |
| format | Article |
| id | doaj.art-0496c8b2e2a8462f904abe27821a6470 |
| institution | Directory Open Access Journal |
| issn | 0013-5194 1350-911X |
| language | English |
| last_indexed | 2024-04-13T19:34:02Z |
| publishDate | 2022-03-01 |
| publisher | Wiley |
| record_format | Article |
| series | Electronics Letters |
| spelling | doaj.art-0496c8b2e2a8462f904abe27821a64702022-12-22T02:33:06ZengWileyElectronics Letters0013-51941350-911X2022-03-0158728028210.1049/ell2.12443Multiple clues inspired banding detector in high dynamic range videosShuhong Yuan0Fei Zhou1College of Electronic and Information Engineering Shenzhen University Shenzhen P. R. ChinaCollege of Electronic and Information Engineering Shenzhen University Shenzhen P. R. ChinaAbstract In this paper, a method for detecting banding artefacts in high‐dynamic‐range (HDR) videos is proposed. The proposed method is the first banding detector designed for HDR videos. To effectively detect banding artefacts, a multi‐scale banding detection strategy based on multiple visual clues is proposed. Specifically, in each scale, the visually perceptual effects of banding artefacts are measured sequentially by luminance, edge strength, and edge length clues. All these clues are exploited by considering the properties of the human vision system and HDR videos. Experimental results show that our method can effectively detect banding artefacts and provide banding visibility maps that highly match the human visual perception.https://doi.org/10.1049/ell2.12443Optical, image and video signal processingPhotodetectorsComputer vision and image processing techniquesVideo signal processing |
| spellingShingle | Shuhong Yuan Fei Zhou Multiple clues inspired banding detector in high dynamic range videos Electronics Letters Optical, image and video signal processing Photodetectors Computer vision and image processing techniques Video signal processing |
| title | Multiple clues inspired banding detector in high dynamic range videos |
| title_full | Multiple clues inspired banding detector in high dynamic range videos |
| title_fullStr | Multiple clues inspired banding detector in high dynamic range videos |
| title_full_unstemmed | Multiple clues inspired banding detector in high dynamic range videos |
| title_short | Multiple clues inspired banding detector in high dynamic range videos |
| title_sort | multiple clues inspired banding detector in high dynamic range videos |
| topic | Optical, image and video signal processing Photodetectors Computer vision and image processing techniques Video signal processing |
| url | https://doi.org/10.1049/ell2.12443 |
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