Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/25998
Full metadata record
DC Field | Value | Language |
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dc.contributor.advisor | Chen, Jun Jr | - |
dc.contributor.author | Ye, Xiuxian Jr | - |
dc.date.accessioned | 2020-10-23T19:27:29Z | - |
dc.date.available | 2020-10-23T19:27:29Z | - |
dc.date.issued | 2020 | - |
dc.identifier.uri | http://hdl.handle.net/11375/25998 | - |
dc.description | This is a kind of image processing algorithm in order to realize a seamless video wall and improve the quality of images. | en_US |
dc.description.abstract | Nowadays, screens are very common in our daily life. There are several di erent kinds of screens, LCD, LED, OLED, ULED and so on. LCD screens can display high-resolution pictures while LED has advantages of low energy consumption and wider color range. This project has two goals. The rst one is to achieve a seamless display screen which consists of 9 LED backlit LCD boards. The second goal is to improve image quality, which is enabled by the combination of LED and LCD. There are two main problems that need to be solved in this project. The rst problem is brightness correction. Because of the projection method and the distance between lights and nal screen, there are di erent kinds of overlapping situations and distinct lines on screen. The other one is the combination of LED and LCD. The algorithms need to be developed to ensure that RGB LEDs and LCD panels display the same picture and to address some problems caused by the LCD module. | en_US |
dc.language.iso | en | en_US |
dc.subject | algorithm | en_US |
dc.subject | image processing | en_US |
dc.subject | combination of LCD and LEDs | en_US |
dc.title | Image Processing Algorithms for Realizing a Seamless Multi-Projection Screen | en_US |
dc.type | Image | en_US |
dc.contributor.department | Electrical and Computer Engineering | en_US |
dc.description.degreetype | Thesis | en_US |
dc.description.degree | Master of Applied Science (MASc) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Description | Size | Format | |
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Ye_Xiuxian_2020 Oct_M.A.Sc.pdf | 20.6 MB | Adobe PDF | View/Open |
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