An optimized 3D context model for JPEG2000 Part 10

T. Bruylants; A. Alecu; T. Kimpe; R. Deklerck; A. Munteanu; P. Schelkens

doi:10.1117/12.709170

3 March 2007 An optimized 3D context model for JPEG2000 Part 10

T. Bruylants, A. Alecu, T. Kimpe, R. Deklerck, A. Munteanu, P. Schelkens

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65124K (2007) https://doi.org/10.1117/12.709170
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

The JPEG2000 standard is currently widely adopted in medical and volumetric data compression. In this respect, a 3D extension (JPEG2000 Part 10 - JP3D) is currently being standardized. However, no suitable 3D context model is yet available within the standard, such that the context-based arithmetic entropy coder of JP3D still uses the 2D context model of JPEG2000 Part 1. In this paper, we propose a context design algorithm that, based on a training set, generates an optimized 3D context model, while avoiding an exhaustive search and at the same time keeping the space and time complexities well within the limits of today hardware. The algorithm comes as a solution for the situations in which the number of allowable initial contexts is very large. In this sense, the three-dimensional 3x3x3 context neighborhood investigated in this paper is a good example of an instantiation that would have otherwise been computationally unfeasible. Furthermore, we have designed a new 3D context model for JP3D. We show that the JP3D codec equipped with this model consistently outperforms its 2D context model counterpart, for an extended test dataset. In this respect, we report a gain in lossless compression performance of up to 10%. Moreover, for a large range of bitrates, we always obtain gains in PSNR, sometimes even over 3dB.

Citation Download Citation

T. Bruylants, A. Alecu, T. Kimpe, R. Deklerck, A. Munteanu, and P. Schelkens "An optimized 3D context model for JPEG2000 Part 10", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65124K (3 March 2007); https://doi.org/10.1117/12.709170

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