边导向的双三次彩色图像插值

周登文; 申晓留

doi:10.3724/SP.J.1004.2012.00525

边导向的双三次彩色图像插值

doi: 10.3724/SP.J.1004.2012.00525

周登文^,,
申晓留

1.
华北电力大学控制与计算机工程学院北京 102206

详细信息

通讯作者:
周登文华北电力大学控制与计算机工程学院副教授. 主要研究方向为图像插值、降噪和分类. E-mail: zdw@ncepu.edu.cn

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出版历程
- 收稿日期: 2011-07-05
- 修回日期: 2011-09-22
- 刊出日期: 2012-04-20

Edge-directed Bicubic Color Image Interpolation

ZHOU Deng-Wen^,,
SHEN Xiao-Liu

1.
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206

摘要

摘要: 提出了一个新的边导向的双三次卷积(Cubic convolution, CC)彩色图像插值算法. 对于待插值的像素, 首先在其邻域检测两个正交方向边的强度. 如果该像素在一个强边上, 则沿着强边的方向执行CC插值估计该像素;否则, 该像素在弱边或纹理区域, 通过加权平均两个正交方向的CC插值估计该像素. 本文方法也考虑了彩色平面之间的相关性. 实验结果显示, 本文方法显著优于经典的CC插值和其他一些插值方法.
- 彩色图像处理 /
- 边导向 /
- 双三次卷积 /
- 图像插值 /
- 图像放大
Abstract: Image interpolation becomes very important because various low-cost digital cameras and camcorders have spread widely. Most of the existing image interpolation methods are geared to gray images. Interpolating a color image is usually implemented by the componentwise interpolation scheme using gray image interpolation methods, which is insufficient and results in additional artifacts. In this paper, a novel edge-directed bicubic color image interpolation method is proposed. Our method is an extension to the classical bicubic convolution interpolation. Our improvement includes: considering the correlation between color channels; giving a new method of color edge detection and a novel scheme estimating the missing pixels. The proposed method can well preserve the edges and textures, and noticeably suppress common artifacts such as blurring, blocking and aliasing in interpolated images. The experimental results demonstrate that it outperforms significantly the bicubic interpolation in terms of both objective and subjective measures.
- Color image processing /
- edge-directed /
- cubic convolution (CC) /
- image interpolation /
- image zooming

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参考文献(1)

[1]

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