基于相位谱和调谐幅度谱的显著性检测方法

针对目前视觉注意选择领域中的谱残余方法(SR)显著图对比度较差、细节显著性检测效果不理想的问题,通过分析图像频谱特性与显著性的关系,提出了一种基于频谱分析的显著性区域检测方法。该方法通过保留傅里叶相位谱并对幅度谱进行分段非线性调谐,达到抑制图像冗余信息、增强图像显著性信息的效果。实验结果表明,本文基于相位谱和幅度谱调谐(PTA)的显著性检测方法得到的显著图较SR方法对比度更高,对显著细节的检测效果也更明显。

Saliency detection method based on phase spectrum and amplitude spectrum tuning

Since the spectral residual (SR) method of the visual attention model has poor contrast saliency maps and unsatisfactory detection of saliency details. In this paper, we propose a saliency detection method based on spectrum analysis by discussing the relationship between spectral characteristics of the image and the saliency. This method keeps the phase spectrum and tunes the amplitude spectrum using a piecewise non-linear function for the purpose of inhibiting the redundant information and enhancing the saliency image information. Experimental results show that saliency detection method based on phase spectrum and tuning amplitude spectrum (PTA) obtains a saliency map, which has better contrast, and allows for a better deteetion of the details of the saliency information.