An evaluation of the effect of JPEG, JPEG2000, and H.264/AVC on CQR codes decoding process

Max E. Vizcarra Melgar; Mylène C. Q. Farias; Alexandre Zaghetto

doi:10.1117/12.2083263

27 February 2015 An evaluation of the effect of JPEG, JPEG2000, and H.264/AVC on CQR codes decoding process

Max E. Vizcarra Melgar, Mylène C. Q. Farias, Alexandre Zaghetto

Proceedings Volume 9404, Digital Photography XI; 94040Q (2015) https://doi.org/10.1117/12.2083263
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

This paper presents a binarymatrix code based on QR Code (Quick Response Code), denoted as CQR Code (Colored Quick Response Code), and evaluates the effect of JPEG, JPEG2000 and H.264/AVC compression on the decoding process. The proposed CQR Code has three additional colors (red, green and blue), what enables twice as much storage capacity when compared to the traditional black and white QR Code. Using the Reed-Solomon error-correcting code, the CQR Code model has a theoretical correction capability of 38.41%. The goal of this paper is to evaluate the effect that degradations inserted by common image compression algorithms have on the decoding process. Results show that a successful decoding process can be achieved for compression rates up to 0.3877 bits/pixel, 0.1093 bits/pixel and 0.3808 bits/pixel for JPEG, JPEG2000 and H.264/AVC formats, respectively. The algorithm that presents the best performance is the H.264/AVC, followed by the JPEG2000, and JPEG.

Citation Download Citation

Max E. Vizcarra Melgar, Mylène C. Q. Farias, and Alexandre Zaghetto "An evaluation of the effect of JPEG, JPEG2000, and H.264/AVC on CQR codes decoding process", Proc. SPIE 9404, Digital Photography XI, 94040Q (27 February 2015); https://doi.org/10.1117/12.2083263

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available