JPEG-1 standard 25 years: past, present, and future reasons for a success

Abstract. Digital image capture, processing, storage, transmission, and display are now taken for granted as part of the technology of modern everyday life. Digital image compression is one of the enabling technologies of the present multimedia world. The image compression technique used for application as diverse as photography, web pages, medical imaging, and public records is JPEG, named after the ISO/CCITT “joint photographic experts group,” established in 1986, which developed the technique in the late 1980s and produced the international standard in the early ’90s. ITU-T T.81¦ISO/IEC 10918-1, also called “JPEG-1” has become one of the most successful standards in information and communication technologies (ICT) history. The authors of this paper—all members of the original JPEG development team—were all intimately involved in image-coding research and JPEG in particular. The paper goes behind the scenes explaining why and how JPEG came about and looks under the bonnet of the technique explaining the different components that give the standard of its efficiency, versatility, and robustness that have made a technique that has stood the test of time and evolved to cover applications beyond its original scope. In addition, the authors give a short outlook of the main milestones in coding schemes of still images since “JPEG-1.”

[1]  Sebastiano Battiato,et al.  A new fast matching method for adaptive compression of stereoscopic images , 2015, Electronic Imaging.

[2]  Axel Pinz,et al.  Human Visual System , 2002 .

[3]  David A. Huffman,et al.  A method for the construction of minimum-redundancy codes , 1952, Proceedings of the IRE.

[4]  Gary J. Sullivan,et al.  Overview of the High Efficiency Video Coding (HEVC) Standard , 2012, IEEE Transactions on Circuits and Systems for Video Technology.

[5]  P. Wintz Transform picture coding , 1972 .

[6]  A. Leger,et al.  Still picture compression algorithms evaluated for international standardisation , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[7]  Touradj Ebrahimi,et al.  JPEG XT: A New Family of JPEG Backward-Compatible Standards , 2016, IEEE MultiMedia.

[8]  Jianqin Zhou,et al.  On discrete cosine transform , 2011, ArXiv.

[9]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[10]  Gregory K. Wallace,et al.  JPEG still picture compression algorithm , 1991 .

[11]  Andrew G. Tescher,et al.  An Investigation Of MSE Contributions In Transform Image Coding Schemes , 1975, Optics & Photonics.

[12]  Tinku Acharya,et al.  JPEG2000 standard for image compression , 2004 .

[13]  Francesca De Simone,et al.  Subjective quality evaluation of the upcoming HEVC video compression standard , 2012, Other Conferences.

[14]  Gary J. Sullivan,et al.  High Efficiency Video Coding (HEVC), Algorithms and Architectures , 2014, Integrated Circuits and Systems.

[15]  G. Wallace,et al.  Subjective testing results for still picture compression algorithms for international standardization , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[16]  I. Sebestyen,et al.  The international standardisation of a still picture compression technique , 1988, IEEE Global Telecommunications Conference and Exhibition. Communications for the Information Age.

[17]  Herbert Lohscheller,et al.  A Subjectively Adapted Image Communication System , 1984, IEEE Trans. Commun..