In this paper, we propose a new reversible image authentication technique based on watermarking where if the image is authentic, the distortion due to embedding can be completely removed from the watermarked image after the hidden data has been extracted. This technique utilizes histogram characteristics of the difference image and modifies pixel values slightly to embed more data than other lossless data hiding algorithm. We show that the lower bound of the PSNR (peaksignal-to-noise-ratio) values of watermarked images are 51.14 dB. Moreover, the proposed scheme is quite simple and the execution time is rather short. Experimental results demonstrate that the proposed scheme can detect any modifications of the watermarked image.
In this paper, we propose a non‐blind watermarking method that embeds a pseudo‐random sequence (watermarks) into wavelet DC components. The DC area is not suitable for embedding because of severe visual degradation. We overcome the degradation problem by embedding watermarks into visually insensitive locations. We compare our experimental results with respect to JPEG compression with Cox's popular correlation‐based method. We also compare the robustness of our technique with other methods registered in CheckMark. This study reveals that the proposed method simultaneously provides good fidelity in quality as well as robustness against external attacks
Abstract. In this paper, we propose a new lossless data hiding method where distortion due to data embedding can be completely removed from the watermarked image after the watermark has been extracted. In the proposed method, we utilize characteristics of the difference image and modify pixel values slightly to embed the data. We show that the lower bound of the PSNR (peak-signal-to-noise-ratio) values for typical images are about 51.14 dB. Moreover, the proposed method is quite simple and fast. Experimental results demonstrate that the proposed scheme can embed a large amount of data while keeping high visual quality of test images.
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