A new bottom-up method for saliency detection

Xiaolong Ma, Xudong Xie, K. Lam, Yisheng Zhong
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Abstract

In this paper, we propose a new method for saliency detection. Unlike other algorithms, our method considers nonsalient regions first, and extracts information in the wavelet transform domain only. Our method need not perform the inverse transform back to the image domain, which can greatly reduce the computational requirements. Experimental results show that our method can achieve excellent results when compared to the state-of-the-art methods.
一种新的自下而上的显著性检测方法
本文提出了一种新的显著性检测方法。与其他算法不同,我们的方法首先考虑非显著区域,只提取小波变换域中的信息。该方法不需要对图像域进行反变换,大大减少了计算量。实验结果表明,与现有的方法相比,我们的方法可以取得很好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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