计算机工程与应用 ›› 2008, Vol. 44 ›› Issue (5): 73-74.

• 学术探讨 • 上一篇    下一篇

基于最优空间重采样的图像压缩算法

王锦江,高 山,毕笃彦   

  1. 空军工程大学 工程学院,西安 710038
  • 收稿日期:2007-06-08 修回日期:2007-08-21 出版日期:2008-02-11 发布日期:2008-02-11
  • 通讯作者: 王锦江

Image compression based on optimum spatial resample

WANG Jin-jiang,GAO Shan,BI Du-yan   

  1. Engineering College,Air Force Engineering University,Xi’an 710038,China
  • Received:2007-06-08 Revised:2007-08-21 Online:2008-02-11 Published:2008-02-11
  • Contact: WANG Jin-jiang

摘要: 给出了一种基于最优空间重采样模型的图像压缩算法。该算法通过对图像像素的重采样,以还原误差最小化为准则选择性地保存图像中的部分像素来以达到压缩的目的,并通过分段线性插值来估计被删除的像素灰度完成还原。图像压缩实验证明其压缩性能接近JPEG2000,对复杂纹理图像的压缩稍差,对低码率和带噪图像的压缩还原结果在边界保持和视觉效果上要优于JPEG2000。

关键词: 图像压缩, 最优空间, 重采样

Abstract: A method of image compression based on optimum spatial resample was present.It compressed the image by selecting a subset of the whole image pixels with criterion of minimizing the revert error and revert image through piecewise linear interpolation.Experiments shows that its performance is close to JPEG2000 as a whole,worse when image have complex textures,and better than JPEG2000 in edge preservation and visual effect with low bit and noisy image compression.

Key words: image compression, optimum spatial, resample