CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 10696 > Article
Paper
13 April 2018 Non-parametric adaptative JPEG fragments carving
Sabrina Cherifa Amrouche, Dalila Salamani
Author Affiliations +
Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106962D (2018) https://doi.org/10.1117/12.2310079
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria
Abstract
The most challenging JPEG recovery tasks arise when the file header is missing. In this paper we propose to use a two layer machine learning model to restore headerless JPEG images. We first build a classifier able to identify the structural properties of the images/fragments and then use an AutoEncoder (AE) to learn the fragment features for the header prediction. We define a JPEG universal header and the remaining free image parameters (Height, Width) are predicted with a Gradient Boosting Classifier. Our approach resulted in 90% accuracy using the manually defined features and 78% accuracy using the AE features.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Sabrina Cherifa Amrouche and Dalila Salamani "Non-parametric adaptative JPEG fragments carving", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106962D (13 April 2018); https://doi.org/10.1117/12.2310079
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
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
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 8 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image classification
Machine learning
Image compression
Image processing
Image quality
Image resolution
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top