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计算机工程 ›› 2012, Vol. 38 ›› Issue (23): 227-230. doi: 10.3969/j.issn.1000-3428.2012.23.056

• 图形图像处理 • 上一篇    下一篇

一种基于移植理论的图像旋转算法

康 牧,王子须   

  1. (洛阳师范学院信息技术学院,洛阳 471022)
  • 收稿日期:2011-09-07 出版日期:2012-12-05 发布日期:2012-12-03
  • 作者简介:康 牧(1968-),男,副教授、博士,主研方向:图像处理,人工智能;王子须,讲师
  • 基金资助:
    河南省自然科学计划基金资助项目(2007520035);河南省科技攻关计划基金资助项目(112102210445)

Image Rotation Algorithm Based on Migration Theory

KANG Mu, WANG Zi-xu   

  1. (Academy of Information Technology, Luoyang Normal University, Luoyang 471022, China)
  • Received:2011-09-07 Online:2012-12-05 Published:2012-12-03

摘要: 传统图像旋转算法存在颜色失真和锯齿边缘的现象,为此,分析最近邻插值模型和曲面拟合模型,提出一种基于移植理论的图像旋转算法。该算法利用调色板信息避免颜色失真,借鉴移植理论消除锯齿边缘现象。实验结果表明,与最近邻法和曲面拟合法相比,该算法得到的图像轮廓清晰、边界分明,峰值信噪比较高。

关键词: 移植理论, 图像旋转, 调色板, 曲面拟合模型, 最近邻插值模型, 颜色失真

Abstract: To avoid the rotation of the color distortion and jagged edge of the phenomenon and analysis of the neighbours interpolated models and fitting model of surfaces, an algorithm of image rotation based on the migration theory is presented. The method employs the color palette information to avoid distorted information color, and diminishes the phenomena of jagged edge. Experimental results show that the algorithm gets the image’s outline more clear compared with nearest neighbor methed and fitting model of surfaces methed. Its PSNR is higher than that of nearest neighbor method and fitting model of surfaces method.

Key words: migration theory, image rotation, color palette, fitting model of surfaces, nearest neighbor interpolated model, color distortion

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