摘要
针对传统的缝裁剪图像缩放方法中可能出现对图像中显著物体形状结构的破坏问题,提出一种既考虑到显著物体内容保持又考虑到显著物体形状结构保持的新的图像缩放方法。该方法首先利用经典的图像显著度图模型,结合图像梯度直方图等信息构建形状结构更加清晰的图像重要度图;然后利用已构建的重要度图,对图像进行分块,按显著块的大小来确定缩放方法;最后结合经典缝裁剪方法和基于共形能量的变形方法对图像进行缩放。实验结果显示,该方法能够在图像缩放时更好地保持显著物体的内容和形状结构。
Since the traditional seam carving based image resizing methods may destroy the shape and structure of saliency objects in the image,we presented a new image resizing method which can preserve the content and shape and structure of salient objects.The proposed method firstly produces the significant map of clear shape and structure by combining with the classic saliency map and gradient histogram information,and then divides the image into blocks by using the existing significant map.Finally,image can be resized which combines the classic seam resizing method and the resizing method of deformation based on conformal energy according to the significant block size.And the experiments show that the proposed method has better performance in preserving the content and shape and structure of saliency objects than the previous works.
出处
《计算机科学》
CSCD
北大核心
2014年第12期288-292,共5页
Computer Science
基金
国家"九七三"重点基础研究发展规划项目基金(2011CB302200)
国家自然科学基金联合基金项目(U1304616)
国家自然科学基金重点项目(61133009)
国家自然科学基金面上项目(61073089)
上海市科委2013年度"科技创新行动计划"信息技术领域项目(13511505000)资助
关键词
显著度图
形状结构保持
图像缩放
Saliency map
Shape and structure-preserving
Image resizing
