Abstract
Since consumer devices have different resolution sizes of display panels, digital images are frequently required to be resized for each display adaptation. In this paper, we define DCT-based distortion measures to quantitatively evaluate both scaling distortion and shape distortion generated by downsizing. By utilizing the distortion measures, we propose a novel content-aware image retargeting algorithm. The proposed algorithm can not only satisfy demands of users without the loss of semantic information in images but also is computationally efficient since the digital images are typically stored in DCT-based compression format. Experimental results show that the proposed method can achieve higher subjective quality with significantly reduced computational loads as compared with existing methods.
| Original language | English |
|---|---|
| Pages (from-to) | 1514-1521 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Consumer Electronics |
| Volume | 55 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2009 |
Bibliographical note
Funding Information:1This research was supported by Seoul Future Contents Convergence (SFCC) Cluster established by Seoul R&BD Program. This work was supported by the Korea Science and Engineering Foundation(KOSEF) grant funded by the Korea government(MEST) (No. 2009-0080547). Kang-Sun Choi and Sung-Jea Ko are with the Department of Electronic Engineering, Korea University, Seoul, Korea, 136-701 (e-mail: [email protected]). Contributed Paper Manuscript received June 23, 2009 0098 3063/09/$20.00 © 2009 IEEE
Keywords
- Compressed domain processing
- Content-aware image manipulation
- DCT
- Display devices
- Image resizing
ASJC Scopus subject areas
- Media Technology
- Electrical and Electronic Engineering