High-Quality Self-Embedding for JPEG-compressed Digital Images

Paweł Korus, Jarosław Białas and Andrzej Dziech

European Signal Processing Conference (EUSIPCO), 2013

http://www.eurasip.org/Proceedings/Eusipco/Eusipco2013/papers/1569744413.pdf

Abstract

This paper deals with the design of a self-embedding scheme for JPEG-compressed images. Most of existing schemes are compatible only with loss-less images. Few of them are capable of handling lossy compression, but deliver very low restoration fidelity, and support only small amounts of tampered content. In this study, we perform theoretical analysis of the impact of watermark extraction and block classification errors on the achievable reconstruction performance. We proposed a new self-embedding scheme, and validate the obtained theoretical results experimentally. Our work shows that the designed scheme allows for high-quality reconstruction of maliciously tampered JPEG images, even for extensive tampering.