一种高精度的自适应码率控制图像压缩算法

宋蓓蓓; 何帆; 马穗娜; 孙文方

doi:10.7652/xjtuxb202202021

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一种高精度的自适应码率控制图像压缩算法

更新时间：2025-05-08

- 一种高精度的自适应码率控制图像压缩算法
- An Image Compression Algorithm With High-Precision Adaptive Rate Control
- 西安交通大学学报 2022年56卷第2期页码：198-206
- 作者机构：
  
  长安大学信息工程学院,西安,710064
- 作者简介：
- 基金信息：
  
  : 2021-07-23。作者简介: 宋蓓蓓(1980—),女,博士,副教授。基金项目: 国家自然科学基金资助项目(62001059);陕西省重点研发计划资助项目(2021GY-019)
- DOI：10.7652/xjtuxb202202021
  中图分类号： TN911.7
- 网络首发：2022-02-10，
  
  纸质出版：2022
- 稿件说明：
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宋蓓蓓, 何帆, 马穗娜, 等. 一种高精度的自适应码率控制图像压缩算法[J]. 西安交通大学学报, 2022,56(2):198-206.

An Image Compression Algorithm With High-Precision Adaptive Rate Control[J]. 2022, 56(2): 198-206.
宋蓓蓓, 何帆, 马穗娜, 等. 一种高精度的自适应码率控制图像压缩算法[J]. 西安交通大学学报, 2022,56(2):198-206. DOI： 10.7652/xjtuxb202202021.

An Image Compression Algorithm With High-Precision Adaptive Rate Control[J]. 2022, 56(2): 198-206. DOI： 10.7652/xjtuxb202202021.

摘要

针对非完全嵌入编码的图像压缩算法难以实现精确的码率控制问题

提出了一种结合码率预测和压缩后率失真优化的高精度自适应码率控制的图像压缩(HTJ2K-RPRD)算法。首先

根据二维离散小波变换高频子带数据的高斯分布特性

计算量化前高频子带数据的信息熵得到最小平均比特数

用最小平均比特数来估计量化编码后高频子带数据的码率预测值; 接着

采用与JPEG2000标准压缩质量相当但复杂度比其低的HTJ2K标准进行图像压缩

根据HTJ2K标准中清理通道的编码特点

粗略计算二维离散小波变换低频子带数据在码流中嵌入的平均比特数

用嵌入的平均比特数来估计编码后低频子带数据的码率预测值; 然后

统计所有编码后子带数据的码率预测值来估计基础截断位平面; 最后

从基础截断位平面编码产生多个编码通道

对产生的编码通道进行率失真优化以实现自适应码率控制的图像压缩。实验结果表明:HTJ2K-RPRD算法在自适应码率控制的情况下可实现带宽受限压缩系统的定码率压缩

且复杂度更低; 在不同位深和像素大小的图像上的压缩码率控制精度可达99.997%。

Abstract

An image compression(HTJ2K-RPRD)algorithm with high-precision adaptive rate control is proposed to solve the problem that the image compression algorithm with incomplete embedded coding is difficult to achieve accurate rate control

and the algorithm combines bit rate prediction and post compression rate distortion optimization. Firstly

according to the Gaussian distribution characteristics of the high-frequency subband data of two dimentional discrete wavelet transform

the information entropy of the wavelet coefficients before quantization is calculated to obtain the minimum average bit number which is used to estimate the predicted bitrates of the high-frequency wavelet coefficients after quantization and encoding. Secondly

the HTJ2K standard

which has the same compression quality as the JPEG2000 standard but a lower complexity than it

is used for image compression. According to the coding characteristics of the cleanup passes in the HTJ2K standard

the average bits embedded in the code stream of the low-frequency wavelet coefficients are roughly calculated and the predicted rates of the encoded low-frequency wavelet coefficients are estimated by the average embedded bits. Then the predicted bitrates of all encoded wavelet coefficients are counted to estimate the basic truncated bit plane. Finally

multiple coding channels are generated from the base-truncated bit-plane coding

and the generated coding channels are optimized for rate-distortion to achieve adaptive rate control image compression. Experimental results show that the HTJ2K-RPRD algorithm can achieve fixed rate compression for bandwidth-constrained compression systems with lower complexity under the condition of adaptive bit rate control; the compression bit rate control accuracy can reach 99.997% on images with different bit depths and pixel sizes.

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