摘要
图像分形编码处理数据较多、压缩编码时间过长。论文提出了一种快速图像处理算法,对低频子图进行分形编码,以缩短图像压缩编码的时间,然后采用低频差值,对图像实施压缩感知编码来获取解码之后包含的图像内容信息。实验结果表明本文算法可以提高图像分形编码速度,改进重构图像的解码质量。
Aiming at the too much data in image fractal coding the too much time in image compression encoding,the paper proposes a fast image processing algorithm to solve the problems.The algorithm only implements image fractal coding to low-frequency sub-images,which effectively reduces the time of image compression encoding.The decoded image information can be obtained after adopting the low-frequency difference to implement compressed sensing encoding to images.Experiment results show that the proposed algorithm can increase the image fractal coding speed and improve the decoding quality of reconstructed images.
作者
刘昆
LIU Kun(Xuhai College of China University of Mining and Technology,Xuzhou 221008,China)
出处
《软件工程》
2016年第10期18-21,共4页
Software Engineering
关键词
压缩感知
图像处理
编码
低频差值
compressed sensing
image processing
coding
low-frequency difference
