Color Image Compression Technology Based on Chromatic Aberration

YAO Jun-cai

doi:10.3788/YJYXS20122703.0391

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Color Image Compression Technology Based on Chromatic Aberration

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Color Image Compression Technology Based on Chromatic Aberration
- Chinese Journal of Liquid Crystals and Displays Vol. 27, Issue 3, Pages: 391-395(2012)
- 作者机构：
  
  陕西理工学院物理与电信工程学院,陕西汉中,723001
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20122703.0391
  CLC： O432;TP391
- Received：26 December 2011，
  
  Revised：27 February 2012，
  
  Published Online：15 June 2012，
  
  Published：15 June 2012
- 稿件说明：
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姚军财. 基于颜色色差的彩色图像压缩技术研究[J]. 液晶与显示, 2012,(3): 391-395

YAO Jun-cai. Color Image Compression Technology Based on Chromatic Aberration[J]. , 2012,(3): 391-395
姚军财. 基于颜色色差的彩色图像压缩技术研究[J]. 液晶与显示, 2012,(3): 391-395 DOI： 10.3788/YJYXS20122703.0391.

YAO Jun-cai. Color Image Compression Technology Based on Chromatic Aberration[J]. , 2012,(3): 391-395 DOI： 10.3788/YJYXS20122703.0391.

摘要

根据图像DCT变换域系数特征和结合人眼辨别颜色色差的阈值

提出了一种基于颜色色差的彩色图像压缩技术方案。方案首先将彩色图像转化到与设备无关的CIELAB颜色空间

并进行DCT变换和色差计算;再通过人眼辨别颜色色差的阈值进行有选择的量化

并通过Huffman算法进行编码、压缩;最后利用其逆过程进行解压。通过仿真实验

结果表明

重建的彩色解压缩图像与源图像几乎一样

各分量亮度图的解压缩图像的PSNR均超过30 dB

人眼几乎不能分辨其差异;衡量编码质量优劣的5个参数值均达到较好效果

且在保证解压缩图像质量的情况下

彩色图像的压缩比能够达到107.167 8

完全可以满足彩色图像压缩的需求。结果表明

提出的基于颜色色差的图像压缩技术方案是一种可行的、较好的彩色图像压缩技术。

Abstract

According to DCT coefficient characteristic of image and the threshold of the human eye to distinguish colors and chromatic aberration

a color image compression technique scheme was proposed based on the chromatic aberration. In the program

color images were transformed into the device-independent CIELAB color space firstly

and were transformed by DCT and their chromatic aberration was calculated. Then the images were quantified selectively by color aberration threshold of the human eye

and were coded by Huffman algorithm. Finally the images were decompressed by the above inverse process. Through simulation experiments

the results showed that reconstructed color images after decompression were almost the same as the source image

that the PSNR of the brightness images decompressed of each component were more than 30 dB

and that the human eye could hardly tell their difference. The five parameters values measured the coding quality were better

and the compression ratio of color image can be achieved 107.167 8 in case of ensuring the decompression image quality

which fully met the demand for color image compression. Comprehensive results showed that proposed image compression technology scheme color based on chromatic aberration was a viable

good color image compression technology.

关键词

Keywords

references

丁绪星, 朱日宏, 李建欣. 一种基于人眼视觉特性的图像质量评价 [J]. 中国图像图形学报, 2004, 9(2):191-192.

张海燕, 王东木, 宋克欧, 等. 图像压缩技术 [J]. 系统仿真学报, 2002, 14(7):831-835.

田秀伟, 郑喜凤, 丁铁夫. 一种基于小波-Contourlet变换的图像编码算法 [J]. 液晶与显示, 2009, 24(2):268-272.

郑方, 章毓晋. 数字信号与图像处理 [M]. 北京:清华大学出版社, 2006.

王新年, 张涛. 数字图像压缩技术实用教程 [M]. 北京:机械工业出版社, 2009.

赵秀影, 商玉凤, 翟林培, 等. 基于EBCOT的平衡多小波航空图像压缩编码 [J]. 光学精密工程, 2007, 15(11):1796-1801.

高文, 朱明, 田润澜, 等. 一种空间划分与谱间预测相结合的超光谱图像压缩新方法 [J]. 光谱学与光谱分析, 2011,31(8):2287-2293.

申静. 一种利用人眼视觉特性的数字图像水印技术 [J]. 液晶与显示, 2011, 26(2):234-240.

张宁, 吴银花, 金龙旭, 等. 适于航天应用的高速SPIHT图像压缩算法 [J]. 液晶与显示, 2011, 26(6):847-852.

Peli E. Contrast sensitivity function and image discrimination [J]. J. Opt. Soc. Am. A, 2001, 18(2):283-293.

Johnson G M, Fairchild M D. Darwinism of color image difference models // IS and T/SID the 9th Color Imaging Conference, Scottsdale, USA: Society for Imaging Science and Technology, 2001:108-112.

姚军财. 基于人眼视觉特性的印刷图像压缩技术研究 [J]. 包装工程, 2011,32(5):69-73.

许宝卉, 李言. 基于ICC标准的CRT色空间转换方法的研究与比较 [J]. 液晶与显示, 2009, 24(3):438-442.

Yao J C. Measurements of human vision contrast sensitivity to opposite colors using a cathode ray tube display [J].Chinese Science Bulletin, 2011, 56(23):2425-2432.

Roy S B. Methods for characterizing CRT displays [J]. Displays, 1996, 16(4):173-182.

Roy S B. A generic approach to color modeling [J].Color Res. Appl., 1997, 22(5):318-32.

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Related Institution

College of Physics and Electronic Information Engineering, Shaanxi University of Technology

School of Microelectronics, Tianjin University

Sichuan Suge Communication Technology Co., Ltd.

School of Natural and Applied Science, Changchun University of Science and Technology

School of Physics and Telecommunication Engineering, Shaanxi University of Technology, Hanzhong 723000, China

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