Treffer: Reversible Data Hiding in JPEG Images Under Multi-Distortion Metric.

Reversible Data Hiding (RDH) in JPEG images is valuable for many applications, such as archive management and image authentication. Recently, there emerged a lot of related works for JPEG RDH, however, the current methods utilize the histogram-shifting-based framework in a constant distortion metric, which does not consider the property of DCT coefficients whose modification distortion is miscellaneous with respect to DCT frequency. In this paper, we propose a novel JPEG RDH scheme under multi-distortion metric. At first, the modification distortion is defined as the impact in the spatial domain caused by modifying DCT coefficients. Different from previous works, here we select coefficients with values ±1, ±2 as cover, which will not cause extra bitrate-expansion and decrease the shift distortion. By minimizing both the modification distortion and shift distortion, a heuristic block selecting strategy is proposed. With the selected coefficients and the corresponding distortion, we use recursive histogram modification under the inconsistent-distortion metric for message embedding. The experimental results show that the proposed method can effectively improve visual quality as well as bring small bitstream expansion. Additionally, the undetectability of the proposed method outperforms those of the existing methods. [ABSTRACT FROM AUTHOR]

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