基于最优空间重采样的图像压缩算法  

Image compression based on optimum spatial resample

作　　者：王锦江[1] 高山[1] 毕笃彦[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《计算机工程与应用》2008年第5期73-74,101,共3页Computer Engineering and Applications

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。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.

关 键 词：图像压缩 最优空间 重采样 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]