Gradient domain statistical image-importance model for content-aware image resizing

Chanho Jung; Wonjun Kim; Changick Kim

doi:10.1117/1.3662881

1 December 2011 Gradient domain statistical image-importance model for content-aware image resizing

Chanho Jung, Wonjun Kim, Changick Kim

Author Affiliations +

Optical Engineering, Vol. 50, Issue 12, 127006 (December 2011). https://doi.org/10.1117/1.3662881

Abstract

We propose a novel image-importance model for content-aware image resizing. In contrast to the previous gradient magnitude-based approaches, we focus on the excellence of gradient domain statistics. The proposed scheme originates from a well-known property of the human visual system that the human visual perception is highly adaptive and sensitive to structural information in images rather than nonstructural information. We do not model the image structure explicitly, because there are diverse aspects of image structure and they cannot be easily modeled from cluttered natural images. Instead, our method obtains the structural information in an image by exploiting the gradient domain statistics in an implicit manner. Extensive tests on a variety of cluttered natural images show that the proposed method is more effective than the previous content-aware image-resizing methods and it is very robust to images with a cluttered background, unlike the previous schemes.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Chanho Jung, Wonjun Kim, and Changick Kim "Gradient domain statistical image-importance model for content-aware image resizing," Optical Engineering 50(12), 127006 (1 December 2011). https://doi.org/10.1117/1.3662881

Published: 1 December 2011

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

Members: $24.00

Non-members: $28.00 ADD TO CART

JOURNAL ARTICLE
14 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Visualization

Statistical modeling

Image segmentation

Optical engineering

Visual process modeling

Image processing

Optimization (mathematics)

Show All Keywords

Keywords/Phrases

Search In:

Publication Years