Reversible data hiding in JPEG images has become an important topic due to the prevalence\nand overwhelming support of the JPEG image format these days. Much of the existing work focuses\non embedding using AC (quantized alternating current coefficients) to maximize the embedding\ncapacity while minimizing the distortion and the file size increase. Traditionally, DC (quantized direct\ncurrent coefficients) are not used for embedding, due to the assumption that the embedding in DCs\ncause more distortion than embedding in ACs. However, for data analytic which extracts fine details\nas a feature, distortion in ACs is not acceptable, because they represent the fine details of the image.\nIn this paper, we propose a novel reversible data hiding method which efficiently embeds in the DC.\nThe propose method uses a novel DC prediction method to decrease the entropy of the prediction\nerror histogram. The embedded image has higher PSNR, embedding capacity, and smaller file size\nincrease. Furthermore, proposed method preserves all the fine details of the image.
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