摘要
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。
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 sali- ency 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 con- tents, and obtains higher quality index of images by using the proposed method compared with the other content-aware image resizing methods.
出处
《计算机应用研究》
CSCD
北大核心
2016年第1期296-299,320,共5页
Application Research of Computers
基金
国家自然科学基金资助项目(61461006
61261023)
广西自然科学基金资助项目(2013GXNSFBA019271)
广西教育厅科研项目(201106LX016)
广西研究生教育创新计划项目(YCSZ2015036)
关键词
图像缩放
线裁剪
视觉显著性检测
离散余弦变换域
image resizing
seam carving
visual saliency detection
discrete cosine transform （DCT） domain
