Wavelet-based salient region extraction

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Abstract

In this paper, we propose a new technique for extracting salient regions in an image. Identification of salient regions is useful for region/object based image processing. Previous works on salient regions/points typically involve complex detection and are not always reliable in terms of perceptual importance and robustness. This paper presents an efficient salient-region extraction algorithm based on the significance of accumulated wavelet coefficients. The proposed method is robust to common image processing such as compression, filtering, and geometric distortions. Experimental results substantiate the distinguished performance of the proposed method. © Springer-Verlag Berlin Heidelberg 2007.

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Lin, D. W., & Yang, S. H. (2007). Wavelet-based salient region extraction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4810 LNCS, pp. 389–392). Springer Verlag. https://doi.org/10.1007/978-3-540-77255-2_42

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