一种基于离散余弦变换的嵌入式图像编码算法-《中国医学物理学杂志》

文章信息/Info

Title:: An embedded image coding algorithm based on discrete cosine transform

作者:: 陈鑫1; 游敏娟2; 崔艺君1; 张勇1; 王世刚1; 1.山东第一医科大学（山东省医学科学院）放射学院，山东泰安 271016； 2.山东医药技师学院，山东泰安 271016

Author(s):: CHEN Xin1; YOU Minjuan2; CUI Yijun1; ZHANG Yong1; WANG Shigang1; 1. School of Radiology, Shandong First Medical University (Shandong Academy of Medical Sciences), Taian 271016, China 2. Shandong Medicine Technician College, Taian 271016, China

Keywords:: Keywords: image embedded coding discrete cosine transform root-mean-square error peak signal noise ratio

摘要:: 设计一种基于离散余弦变换的增嵌入式图像编码算法，首先对原始图像进行离散余弦变换，然后按特定扫描顺序对变换域余弦系数进行扫描以便能够很好地确定各系数的位置，其次为了用较少的编码位数表示变换域余弦系数需要对扫描后的系数进行量化。实验结果表明该图像编码算法可以根据目标码率或失真度大小的要求随时结束编码，并能解码近似恢复原图像；且随着压缩比的减小，即传输数据量的增加，无论是主观质量还是客观指标RMSE与PSNR都有较大改善。

Abstract:: Abstract: This paper designs an embedded image coding algorithm based on discrete cosine transform. The coding process is to transform the image with discrete cosine transform firstly, and then to scan the cosine coefficient in the transform domain in a specific scanning order so that the positions of each coefficient can be well determined. Secondly, in order to represent the cosine coefficient in the transform domain with fewer coding bits, the scanned coefficient should be quantified. The algorithm can end the coding at any time according to the requirements of the target bits or degree of distortion, and can approximately restore the original image. Moreover, with the reduction of compression ratio and the increase of transmitted data volume, both the subjective quality and the objective indicators RMSE and PSNR are greatly improved.