A Novel Spatial Domain Based Steganography Scheme Against Digital Image Compression

Spatial domain based steganography is well-known for its high embedding capacity, implement simplicity and computational complexity. However, it is vulnerable against digital image compression. In this paper, a robust spatial data hiding scheme is proposed by quantifying certain pixels with given integer as quantization value. In addition, inspired by reversible data hiding approach, a post-process aimed at recovering stego image is proposed as well. Experimental results show that, when applying various JPEG/JPEG2000 compression, bit error rate (BER) of extracted secret data is controllable which can be revised by error correcting code, moreover PSNR of recovered stego image maintains greater than 35 dB, which is fairly acceptable in human vision system.

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