Along with the advancement of technology, image display devices such as mobile phones, computers and televisions are ubiquitous everywhere in our lives. Due to the different sizes of display devices, digital image scaling technology is often used on the devices while presenting images. For example, when large-size photos are viewed on mobile phones, they tend to present as scaled-down images of the entire pictures, making the main subjects quite small and thus causing inconvenience for viewers. On this account, this study has offered an efficient and high-quality intelligent content-aware image resizing system to solve this problem. This system will first analyze the main area of the image, and then applies an intelligent compression process on the entire image. By doing this, images can still have a complete main subject even after being compressed, not only achieving an excellent visual effect while making the main subject more prominent and obvious, but also reducing the data volume of images. Except for various sizes of display devices, this technology can also be applied on video transmission (H.264/AVC) to effectively reduce the data volume of images, making a substantial contribution to both the image scaling and video coding.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0907111-133454 |
| Date | 07 September 2011 |
| Creators | Lin, Pao-Hung |
| Contributors | Jih-Ching Chiu, Li-Wei Kang, Min-Kuan C. Chang, Chia-Hung Yeh, Po-Chyi Su |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-133454 |
| Rights | user_define, Copyright information available at source archive |
Page generated in 0.0017 seconds