@inproceedings{402c925bade247199810cc9ace3c4332,
title = "Bottom-up visual saliency map using wavelet transform domain",
abstract = "Object or region based image processing can be performed more efficiently with information pertaining locations that are visually salient to human perception with the aid of a saliency map. The saliency map is a master topological map having the possible locations of objects or regions which a human perceived as important/salient. In this paper, a method to compute the saliency map in the wavelet transform domain is explored. Previous works involving saliency in this domain usually involves salient points, which are in fact accurate but they do not cover the area as a region and involve heavy repeated iterations. The method explored in this paper is compared to two state-of-art methods in which these methods involve the frequency domain. The presented method provides more accurate salient regions compared to the other two methods while retaining a resolution which the salient regions are visually identifiable.",
keywords = "Frequency-time domain, Saliency map, Salient region, Wavelet transform",
author = "Ngau, {Christopher Wing Hong} and Ang, {Li Minn} and Seng, {Kah Phooi}",
year = "2010",
doi = "10.1109/ICCSIT.2010.5564545",
language = "English",
isbn = "9781424455386",
series = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
pages = "692--695",
booktitle = "Proceedings - 2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010",
note = "2010 3rd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2010 ; Conference date: 09-07-2010 Through 11-07-2010",
}