面向深空探测Bayer图像的高效编码

雷杰; 于露露; 罗晓红; 李云松

doi:10.3788/OPE.20192701.0191

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面向深空探测Bayer图像的高效编码

信息科学 | 更新时间：2020-08-13

- 面向深空探测Bayer图像的高效编码
- Efficient coding method for deep space detection Bayer pattern image
- 光学精密工程 2019年27卷第1期页码：191-200
- 作者机构：
  
  西安电子科技大学综合业务网理论及关键技术国家重点实验室，陕西西安 710071
- 作者简介：
  
  [ "雷杰(1981-), 男, 陕西渭南人, 副教授, 分别于2003年、2006年和2010年在西安电子科技大学获得电子信息工程专业学士学位、通信与信息系统专业硕士学位和信号与信息处理专业博士学位。主要研究方向是图像视频处理、传输与编码。E-mail:jielei@mail.xidian.edu.cn" ]
  [ "于露露(1992-)，女，黑龙江绥化，硕士，硕士研究生，2016年于西安电子科技大学获得学士学位，现为西安电子科技大学通信工程学院硕士研究生，主要从事图像编码方面的研究。E-mail: 1012861865@qq.com" ]
- 基金信息：
  
  国家自然科学基金(61502367);国家自然科学基金(61501346);国家自然科学基金(61701360);国家自然科学基金(61571345);国家自然科学基金(91538101);高等学校学科创新引智基地(B08038);陕西省自然科学基础研究计划项(2016JQ6023);陕西省自然科学基础研究计划项(2016JQ6018)
- DOI：10.3788/OPE.20192701.0191
  中图分类号： V19
- 收稿日期：2018-05-08，
  
  录用日期：2018-7-17，
  
  纸质出版日期：2019-01-15
- 稿件说明：
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雷杰, 于露露, 罗晓红, 等. 面向深空探测Bayer图像的高效编码[J]. 光学精密工程, 2019,27(1):191-200.

Jie LEI, Lu-lu YU, Xiao-hong LUO, et al. Efficient coding method for deep space detection Bayer pattern image[J]. Optics and precision engineering, 2019, 27(1): 191-200.
雷杰, 于露露, 罗晓红, 等. 面向深空探测Bayer图像的高效编码[J]. 光学精密工程, 2019,27(1):191-200. DOI： 10.3788/OPE.20192701.0191.

Jie LEI, Lu-lu YU, Xiao-hong LUO, et al. Efficient coding method for deep space detection Bayer pattern image[J]. Optics and precision engineering, 2019, 27(1): 191-200. DOI： 10.3788/OPE.20192701.0191.

摘要

本文提出一种基于JPEG2000标准的Bayer图像高性能RBCR(Remove Bayer Component Relation

RBCR)压缩算法。在RBCR压缩算法中，根据Bayer图像相关性较高的特点，对Bayer图像进行颜色分量分离，得到处理单元子图，对各子图进行1×4整型离散余弦变换，降低Bayer图像中各颜色分量空间域内的相关性；对变换后的各分量DCT系数使用标准JPEG2000算法独立完成小波变换、Tier1编码、MQ编码和率失真斜率计算等，再基于率失真斜率联合截取方法完成各个分量的码流截取，即使用相同的率失真斜率门限值，按照率失真斜率值由高到低的顺序依次完成所有分量编码码块的码流截取，最后各个分量的截取结果再进行独立的码流组织输出。在RBCR算法中通过加入DCT变换降低Bayer图像相关性和对各个分量码流的率失真斜率联合截取，提高恢复图像质量且精确控制了码率。实验结果表明，RBCR算法与各个分量独立压缩方法相比，恢复图像质量得到提升，尤其在4倍的压缩倍数下效果最佳，峰值信噪比平均提高1.814 dB

复杂峰值信噪比平均提高2.414 dB。可以满足深空探测低复杂度和高质量图像的要求。

Abstract

Based on the JPEG2000 compression framework

an RBCR compression algorithm for Bayer remote sensing images with high quality was proposed in this study. In this algorithm

the color components of the Bayer image were separated

and the processing unit subgraphs were obtained. Each subgraph undergoes a 1×4 integer discrete cosine transform

so the correlation of the four color component space domain in Bayer images was reduced. The JPEG2000 algorithm was used to perform the wavelet transform

Tier1 coding

MQ coding

and rate-distortion slope calculation on the transformed DCT coefficients; subsequently

the code stream interception of each component was completed based on the rate-distortion slope joint interception method. In accordance with the rate-distortion slope values arranged in descending order to complete the code stream interception of all component encoding code blocks

the interception result of each component was finally subjected to the independent stream organization output. In the RBCR algorithm

by adding the DCT transform to reduce the Bayer image correlation and intercepting the rate-distortion slope of each component stream

the recovery image quality was improved and the code rate is accurately controlled. The experimental results show that

compared with each component independent compression method

the RBCR algorithm has improved image quality. At 4 times the compression ratio

the peak signal-to-noise ratio increased by an average of 1.814 dB

and the signal-to-noise ratio increased by an average of 2.414 dB

which meets the requirements of low computational complexity and high image quality for deep space detection.

关键词

Keywords

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