A DCT based in-focus visual saliency detection algorithm.

Chilukamari, Jayachandra; Kannangara, Sampath; Maxwell, Grant

Abstract

A novel low-complexity visual saliency detection algorithm for detecting visually salient regions in images based on camera focus is presented. This fast in-focus region detection algorithm detects salient-frequencies present in in-focus areas using the characteristics of Discrete Cosine Transform coefficients. The performance of this algorithm is validated against five state-of-the-art saliency detection algorithms. The results show that this algorithm consistently outperforms other saliency detection algorithms in terms of complexity and prediction accuracy.

Citation

CHILUKAMARI, J., KANNANGARA, S. and MAXWELL, G. 2013. A DCT based in-focus visual saliency detection algorithm. In Proceedings of the 3rd IEEE international conference on consumer electronics (ICCE-Berlin 2013), 9-11 September 2013, Berlin, Germany. New York: IEEE [online], article number 6698003. Available from: https://doi.org/10.1109/ICCE-Berlin.2013.6698003

• Conference Name: 3rd IEEE international conference on consumer electronics (ICCE-Berlin 2013)
• Conference Location: Berlin, Germany
• Start Date: Sep 9, 2013
• End Date: Sep 11, 2013
• Acceptance Date: Sep 11, 2013
• Online Publication Date: Sep 11, 2013
• Publication Date: Jan 6, 2014
• Deposit Date: Aug 29, 2017
• Publicly Available Date: Aug 29, 2017
• Print ISSN: 2166-6814
• Electronic ISSN: 2166-6822
• Publisher: IEEE Institute of Electrical and Electronics Engineers
• Article Number: 6698003
• Series ISSN: 2166-6822
• ISBN: 9781479914111
• DOI: https://doi.org/10.1109/ICCE-Berlin.2013.6698003
• Keywords: Infocus; Saliency; DCT; Visual; Attention
• Public URL: http://hdl.handle.net/10059/2477
• Related Public URLs: http://hdl.handle.net/10059/2443 ; http://hdl.handle.net/10059/2478 ; http://hdl.handle.net/10059/2479 ; http://hdl.handle.net/10059/2481