Joint Lossless Coding and Reversible Data Embedding in a Multiresolution Still Image Coder

Jean Motsch (1) , Marie Babel (1) , Olivier Déforges (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique

Modern still image codecs furnish more than just good distortion-rate performances. They must also provide some services. Scalability in resolution and quality, error resilience and embedded bitstreams were among the first one to be available. There is still room for enhancement, especially when it comes to security-oriented features. Data embedding is necessary, as for inserting metadata, or to copyright a picture. We present the use of a very simple reversible data embedding method in a multiresolution still image codec framework. Experimental results show the usefulness of such an adequation of techniques from different domain. Moreover, the embedding overhead is evaluated and shows to be very acceptable.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Jean Motsch, Marie Babel, Olivier Déforges. Joint Lossless Coding and Reversible Data Embedding in a Multiresolution Still Image Coder. European Signal Processing Conference, EUSIPCO, Aug 2009, Glasgow, United Kingdom. pp.1-4. ⟨hal-00396163⟩