Image retargeting for small display devices

Chanho Jung; Changick Kim

doi:10.1117/12.863133

7 September 2010 Image retargeting for small display devices

Chanho Jung, Changick Kim

Proceedings Volume 7798, Applications of Digital Image Processing XXXIII; 77981N (2010) https://doi.org/10.1117/12.863133
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

In this paper, we propose a novel image importance model for image retargeting. The most widely used image importance model in existing image retargeting methods is L1-norm or L2-norm of gradient magnitude. It works well under non-complex environment. However, the gradient magnitude based image importance model often leads to severe visual distortions when the scene is cluttered or the background is complex. In contrast to the most previous approaches, we focus on the excellence of gradient domain statistics (GDS) for more effective image retargeting rather than the gradient magnitude itself. In our work, the image retargeting is developed in the sense of human visual perception. We assume that the human visual perception is highly adaptive and sensitive to structural information in an image rather than non-structural information. We do not model the image structure explicitly since there are diverse aspects of image structure. Instead, our method obtains the structural information in an image by exploiting the gradient domain statistics in an implicit manner. Experimental results show that the proposed method is more effective than the previous image retargeting methods.

Citation Download Citation

Chanho Jung and Changick Kim "Image retargeting for small display devices", Proc. SPIE 7798, Applications of Digital Image Processing XXXIII, 77981N (7 September 2010); https://doi.org/10.1117/12.863133

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available