A Saliency Detection Method Based on Wavelet Transform and Simple Priors

Abstract:

In this paper, we present a new visual saliency model, which based on Wavelet Transform and simple Priors. Firstly, we create multi-scale feature maps to represent different features from edge to texture in wavelet transform. Then we modulate local saliency at a location and its global saliency, combine the local saliency and global saliency to generate a new saliency .Finally, the final saliency is generated by combining the new saliency and two simple priors (color prior an location prior). Experimental evaluation shows the proposed model can achieve state-of-the-art results and better than the other models on a public available benchmark dataset.

• Periodical: Applied Mechanics and Materials (Volumes 602-605)
• Pages: 2238-2241
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.602-605.2238
• Online since: August 2014
• Authors: Jian Kun Chen*, Zhi Wei Kang
• Keywords: Feature Map, Simple Priors, Visual Saliency, Wavelet Transform (WT)

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