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Deep controllable backlight dimming for HDR displays
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Duan, Lvyin, Marnerides, Demetris, Chalmers, Alan, Lei, Zhichun and Debattista, Kurt (2022) Deep controllable backlight dimming for HDR displays. IEEE Transactions on Consumer Electronics, 68 (3). pp. 191-199. doi:10.1109/TCE.2022.3188806 ISSN 0098-3063. [ 🗎 Public]. [ (✓) hoa:511 ]
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WRAP-deep-controllable-backlight-dimming-HDR-displays-Debattista-2022.pdf - Accepted Version - Requires a PDF viewer. Download (11Mb) | Preview |
Official URL: http://dx.doi.org/10.1109/TCE.2022.3188806
Abstract
High dynamic range (HDR) displays with dualpanels are one type of displays that can provide HDR content. These are composed of a white backlight panel and a colour LCD panel. Local dimming algorithms are used to control the backlight panel in order to reproduce content with high dynamic range and contrast at a high fidelity. However, existing local dimming algorithms usually process low dynamic range (LDR) images, which are not suitable for processing HDR images. In addition, these methods use hand-crafted features to estimate the backlight values, which may not be suitable for many kind of images. In this work, a novel deep learning based local dimming method is proposed for rendering HDR images on dual-panel HDR displays. The method uses a Convolutional Neural Network (CNN) to directly predict backlight values, using as input the HDR image that is to be displayed. The model is designed and trained via a controllable power parameter that allows a user to trade off between power and quality. The proposed method is evaluated against seven other methods on a test set of 105 HDR images, using a variety of quantitative quality metrics. Results demonstrate improved display quality and better power consumption when using the proposed method compared to the best alternatives.
| Item Type: | Journal Article | ||||||
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| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TR Photography |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
| Library of Congress Subject Headings (LCSH): | High dynamic range imaging, Image processing -- Digital techniques, Computer graphics, Computer vision, Electroluminescent display systems -- Design, Information display systems, Color display systems -- Design | ||||||
| Journal or Publication Title: | IEEE Transactions on Consumer Electronics | ||||||
| Publisher: | IEEE | ||||||
| ISSN: | 0098-3063 | ||||||
| Official Date: | 6 July 2022 | ||||||
| Dates: |
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| Volume: | 68 | ||||||
| Number: | 3 | ||||||
| Page Range: | pp. 191-199 | ||||||
| DOI: | 10.1109/TCE.2022.3188806 | ||||||
| Status: | Peer Reviewed | ||||||
| Publication Status: | Published | ||||||
| Reuse Statement (publisher, data, author rights): | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||
| Date of first compliant deposit: | 4 July 2022 | ||||||
| Date of first compliant Open Access: | 4 July 2022 | ||||||
| RIOXX Funder/Project Grant: |
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