Wavelet based seam carving for content-aware image resizing

In this paper, a novel content-aware image resizing method based on wavelet analysis is proposed. We estimate the local energy map of an image by weighing its multiscale subbands appropriately. Based on the energy map, the image is resized by repeatedly carving out or inserting in a connected path o...

Full description

Saved in:
Bibliographic Details
Main Authors: Jong-Woo Han, Kang-Sun Choi, Tae-Shick Wang, Sung-Hyun Cheon, Sung-Jea Ko
Format: Conference Proceeding
Language:English
Subjects:
Content-aware image resizing
Detectors
Displays
Face detection
Home appliances
Humans
Image analysis
Information analysis
Pixel
seam carving
Visual system
Wavelet analysis
wavelet decomposition
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a novel content-aware image resizing method based on wavelet analysis is proposed. We estimate the local energy map of an image by weighing its multiscale subbands appropriately. Based on the energy map, the image is resized by repeatedly carving out or inserting in a connected path of pixels which is least significant in terms of the energy. Since wavelet analysis is similar to the way the human visual system operates, the obtained energy map reflects human perception with fidelity, and thus, the semantic information in the image can be preserved faithfully in the resizing process. The experimental results show that the proposed method produces higher subjective quality images than scaling and conventional content-aware image resizing techniques.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2009.5414414