电信科学 ›› 2016, Vol. 32 ›› Issue (4): 103-108.doi: 10.11959/j.issn.1000-0801.2016106

• 研究与开发 • 上一篇    下一篇

基于JPEG标准的16 bit图像有损压缩应用

徐妮妮,李晨光   

  1. 天津工业大学电子与信息工程学院,天津 300387
  • 出版日期:2016-04-20 发布日期:2017-02-21

Application of 16 bit image lossy compression based on the JPEG standard

Nini XU,Chenguang LI   

  1. School of Electronics and Information Engineering,Tianjin Polytechnic University,Tianjin 300387,China
  • Online:2016-04-20 Published:2017-02-21

摘要:

给出了16 bit图像有损压缩的原理和详细流程。由于16 bit图像数据量大而JPEG并不支持16 bit图像的压缩,这使得其在存储和传输方面有很多不便。在JPEG压缩方案的基础上,对统计模型进行了扩展(分别对DC差分值编码的统计模型表和AC系数编码的统计模型表进行了一定的改变和扩充),使其能够处理位深度为16 的数据,从而实现了16 bit图像的有损压缩。图像量化过程中所使用的量化表是基于JPEG 默认的8 位亮度图像量化表生成的。所采用的编码器为QM 算术编码器,解压后的图像质量评价标准采用客观评价标准PSNR。

关键词: 16bit图像有损压缩, DC差分值编码的统计模型, AC系数编码的统计模型, QM算术编码器

Abstract:

The principle and detailed process of 16 bit image lossy compression were given. The data of 16 bit image is large and JPEG does not support the 16 bit image compression,which makes it inconvenience in 16 bit image’s storage and transmission. Based on the scheme of JPEG compression,the statistical model was expended (improving the tables of statistical model for DC coefficient coding and statistical model for AC coefficient coding respectively). This made it can deal with the data of 16 bit and realized the ideal of the compression of 16 bit static images. The quantization table used was generated based on the Luminance quantization table in JPEG. The encoder adopted was QM arithmetic encoder. An objective evaluation standard PSNR was chosen to evaluate the quality of the decompressed images.

Key words: 16 bit image lossy compression, statistical model for DC coefficient coding, statistical model for AC coefficient coding, QM arithmetic encoder

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