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一种改进的Seam Carving图像重定向算法

翟胜楠 孟凡佳 刘金华

湖北民族学院学报(自然科学版)2018,Vol.36Issue(2):194-198,5.
湖北民族学院学报(自然科学版)2018,Vol.36Issue(2):194-198,5.DOI:10.13501/j.cnki.42-1569/n.2018.06.018

一种改进的Seam Carving图像重定向算法

An Improved Seam Carving Image Retargeting Method

翟胜楠 1孟凡佳 1刘金华1

作者信息

  • 1. 郑州轻工业学院 计算机与通信工程学院,郑州450002
  • 折叠

摘要

Abstract

The main idea of content-aware image resizing is performing different operations according to the importance of each pixel,and the goal is to preserve the important areas and reduce visual distortion. Seam carving is one of the main methods of image resizing. Traditional seam carving generates the impor-tance map by gradient,which can only indicate high energy near the edges of an object.We propose a no-vel method combining gradient map and saliency map to generate an importance map,which can protect the edge information and visual prominent object,and preserve the integrity of the important areas. The experimental results demonstrate that the proposed method can reduce the visual distortion and preserve the content and structure of the original image.

关键词

重定向/seamcarving/梯度图/视觉显著度图

Key words

resizing/seam carving/gradient map/saliency map

分类

信息技术与安全科学

引用本文复制引用

翟胜楠,孟凡佳,刘金华..一种改进的Seam Carving图像重定向算法[J].湖北民族学院学报(自然科学版),2018,36(2):194-198,5.

基金项目

国家自然科学基金项目(U1404623). (U1404623)

湖北民族学院学报(自然科学版)

2096-7594

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