DocumentCode :
1299614
Title :
A Texture-Aware Salient Edge Model for Image Retargeting
Author :
Wonjun Kim ; Changick Kim
Author_Institution :
Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
Volume :
18
Issue :
11
fYear :
2011
Firstpage :
631
Lastpage :
634
Abstract :
Image retargeting aims at adapting a given image to fit the size of arbitrary displays without severe visual distortions. To achieve this task successfully, it is essential to define a reliable image importance map (IIM) since it guides subsequent retargeting procedures. In this letter, we introduce a novel IIM for effective image retargeting. Specifically, we define our IIM by exploiting the higher order statistics (HOS) of the diffusion space for image retargeting. We call it texture-aware salient edge (TASE) map. Based on the proposed TASE map, we obtain visually acceptable retargeting results, even in the cluttered background and in the presence of noise as well. The proposed method has been extensively tested, and experimental results show that the proposed scheme is effective for image retargeting compared to other various state-of-the-art methods.
Keywords :
display devices; image texture; statistics; IIM; diffusion space; higher order statistics; image retargeting; reliable image importance map; texture aware salient edge map; texture aware salient edge model; visual distortion; Equations; Higher order statistics; Image edge detection; Indexes; Noise; Reliability; Visualization; Diffusion space; higher order statistics; image importance map; texture-aware salient edge map;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2011.2165337
Filename :
5986690
Link To Document :
بازگشت