该函数执行高斯金字塔结构下采样的步骤。首先，它与内核的源图像进行卷积。
The function performs the downsampling step of the Gaussian pyramid construction. First, it convolves the source image with the kernel.
利用输入图像的近似高斯金字塔，将经典的基于显著性的视觉注意模型改造为时空开销更小的版本，从而使其更加适合在嵌入式实时系统中实现。
Classical saliency-based visual attention models are adapted for embedding real-time systems with less time and space costs based on approximate Gaussian pyramids of the input image.
提出了一种基于高斯金字塔分解的数字图像扩频水印技术。
In this paper, a spread spectrum digital watermark based on Gaussian pyramid decomposition was proposed.
应用推荐