基于DCT域视觉显著性检测的图像缩放算法*

为适应不同终端显示多样化的要求,需对接收到的图像进行缩放调整。针对现有的基于内容感知(content-aware)的图像缩放方法中视觉内容的连贯性易被破环而出现失真的问题,提出了一个基于离散余弦变换(discrete cosine transform, DCT)域的视觉显著性检测的图像缩放算法。该算法利用DCT域的视觉显著性检测模型获取视觉显著图,然后结合视觉显著图和能量分布图进行线裁剪(Seam Carving),实现了图像的缩放。实验结果表明,该算法与现有的基于内容感知的图像缩放方法相比,不仅保护了视觉显著内容,还保证了图像内容的连贯性,算法质量指数也获得明显的提高。

Image resizing algorithm based on visual saliency detection in DCT domain

In order to meet the requirements of different terminals for various display resolution, the received image need to be resized. However, the coherence of visual contents is easy to be broken among the existing image resizing methods based on content-aware. To address this problem, this paper proposed an image resizing algorithm based on visual saliency detection in discrete cosine transform (DCT) domain. This method utilized a saliency detection model in DCT domain to obtain the saliency map. Then it employed the saliency map and the energy map to implement seam carving (SC). The experimental results show that the proposed algorithm can not only protect the important contents, but also guarantee the integrity of visual contents, and obtains higher quality index of images by using the proposed method compared with the other content-aware image resizing methods.