摘要
介绍了基于离散余弦变换的JPEG图像压缩编码算法,采用MATLAB对标准灰度图像进行仿真,并对同一幅Lena图像做不同的压缩.实验结果表明,在很大的压缩范围内,在不同的压缩比和编码比特率下,重建图像的PSNR都在34 db以上.
The algorithm of JPEG image compression based on DGT is discussed. Then simulation experiments are done with MATLAB and the image Lena is compressed with different ways. Simulation experiments show that the reconstructed images have PSNR above 34db under the circumstance of very large compression range at various compression ratio and bit rate.
出处
《湖南工程学院学报（自然科学版）》
2009年第2期35-37,共3页
Journal of Hunan Institute of Engineering(Natural Science Edition)
基金
湖南省教育厅科学研究青年资助项目(08B015)
湖南省教育厅科研资助项目(08C219)
关键词
JPEG
DCT变换
HUFFMAN编码
PSNR
JPEG image compression algorithm
discrete cosine transform
Huffman encoding
peak signal to noise ratio
