Paper
19 January 2009 Retargeting of digital photos and documents
Author Affiliations +
Proceedings Volume 7250, Digital Photography V; 72500Z (2009) https://doi.org/10.1117/12.811832
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
Present paper generally relates to content-aware image resizing and image inscribing into particular predetermined areas. The problem consists in transformation of the image to a new size with or without modification of aspect ratio in a manner that preserves the recognizability and proportions of the important features of the image. Most close solutions presented in prior art cover along with standard image linear scaling, including down-sampling and up-sampling, image cropping, image retargeting, seam carving and some special image manipulations which similar to some kind of image retouching. Present approach provides a method for digital image retargeting by means of erasing or addition of less significant image pixels. The defined above retargeting approach can be easily used for image shrinking easily. However, for image enlargement there are some limitations as a stretching artifact. History map with relaxation is introduced to avoid such drawback and overcome some known limits of retargeting. In proposed approach means for important objects preservation are taken into account. It allows significant improvement of resulting quality of retargeting. Retargeting applications for different devices such as display, copier, facsimile and photo-printer are described as well.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
V. Bucha, I Safonov, M. Rychagov, J.K. Hong, and S.H. Kim "Retargeting of digital photos and documents", Proc. SPIE 7250, Digital Photography V, 72500Z (19 January 2009); https://doi.org/10.1117/12.811832
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Video

Printing

Digital photography

Computer programming

Image segmentation

Sensors

Back to Top