ETRO VUB
About ETRO  |  News  |  Events  |  Vacancies  |  Contact  
Home Research Education Industry Publications About ETRO

ETRO Publications

Full Details

Conference Publication

CNN-based Prediction for Lossless Coding of Photographic Images

Host Publication: 2018 Picture Coding Symposium

Authors: I. Schiopu, Y. Liu and A. Munteanu

UsePubPlace: San Francisco, CA, USA

Publisher: IEEE

Publication Date: Jun. 2018

Number of Pages: 5

ISBN: 978-1-5386-4161-3


Abstract:

The paper proposes a novel prediction paradigm in image coding based on Convolutional Neural Networks (CNN). A deep neural network is designed to provide accurate pixel-wise prediction based on a causal neighbourhood. The proposed CNN prediction method is trained on the high-activity areas in the image and it is incorporated in a lossless compression system for high-resolution photographic images. The system uses the proposed CNN-based prediction paradigm as well as LOCO-I, whereby the predictor selection is performed using a local entropy-based descriptor. The prediction errors are encoded using a CALIC-based reference codec. The experimental results show a good performance for the proposed prediction scheme compared to state-of-the-art predictors. To our knowledge, the paper is the first to introduce CNN-based prediction in image coding, and demonstrates the potential offered by machine learning methods in coding applications.

Other Reference Styles
Current ETRO Authors

Dr. Ionut Schiopu

+32 (0)02 629 169

ischiopu@etrovub.be

more info

Prof. Dr. Ir. Adrian Munteanu

+32 (0)02 629 168

acmuntea@etrovub.be

more info

Other Publications

• Journal publications

IRIS • LAMI • AVSP

• Conference publications

IRIS • LAMI • AVSP

• Book publications

IRIS • LAMI • AVSP

• Reports

IRIS • LAMI • AVSP

• Laymen publications

IRIS • LAMI • AVSP

• PhD Theses

Search ETRO Publications

Author:

Keyword:  

Type:








- Contact person

- IRIS

- AVSP

- LAMI

- Contact person

- Thesis proposals

- ETRO Courses

- Contact person

- Spin-offs

- Know How

- Journals

- Conferences

- Books

- Vacancies

- News

- Events

- Press

Contact

ETRO Department

info@etro.vub.ac.be

Tel: +32 2 629 29 30

©2019 • Vrije Universiteit Brussel • ETRO Dept. • Pleinlaan 2 • 1050 Brussels • Tel: +32 2 629 2930 (secretariat) • Fax: +32 2 629 2883 • WebmasterDisclaimer