Journal of South China University of Technology (Natural Science Edition)

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A Reversible Visual Transformation Algorithm for JPEG Images
 

WU Haotian1 TANG Hongxiang2 WANG Jianming2   

  1. 1. School of Computer Science and Engineering,South China University of Technology,Guangzhou 510006,Guangdong,China; 2. School of Digital Media,Jiangnan University,Wuxi 214122,Jiangsu,China
  • Received:2017-10-15 Online:2018-05-25 Published:2018-04-03
  • Contact: 吴昊天( 1980-) ,男,博士,副教授,主要从事多媒体信息安全、信息隐藏技术、加密域信号处理等的研究 E-mail:wuht@scut.edu.cn
  • About author:吴昊天( 1980-) ,男,博士,副教授,主要从事多媒体信息安全、信息隐藏技术、加密域信号处理等的研究
  • Supported by:
      Supported by the National Natural Science Foundation of China( 61772208) and the Natural Science Foundation of Jiangsu Province( BK20151131) 

Abstract:  Image reversible visual transformation is an emerging image processing technique that can exactly recover the original image from the visually transformed image. It can be used in the applications of secret image encryption and transmission. A new image reversible visual transformation algorithm is proposed for JPEG images with low complexity. Since JPEG format is one of the most used image types in the daily usages, study of data hiding and reversible visual transformation of JPEG images is important and attracts much attention from the community. The proposed algorithm replaces the last four DCT coefficients to embed the transform information. Consequently, the original image can be restored without any distortion by extracting the hidden data. The experimental results show that the proposed algorithm can change the secret image content while achieving reversible image visual transformation. That means the original JPEG image can be exactly recovered from the corresponding visually transformed one. 

Key words: reversible visual transformation, image encryption, JPEG image, DCT transform, privacy protection

CLC Number: