An improvement of histogram-pair based image reversible data hiding by using RZL (Reverse Zero-run Length) coding is proposed in this paper. The pre-processing to compress data to a shortest one is usually adopted for...
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ISBN:
(纸本)9783662438862;9783662438855
An improvement of histogram-pair based image reversible data hiding by using RZL (Reverse Zero-run Length) coding is proposed in this paper. The pre-processing to compress data to a shortest one is usually adopted for raising the PSNR (Peak Signal to Noise Ratio) in datahiding. Recently, the disagreements appear that we can get better PSNR by using RZL coding after compression. We proved that our histogram-pair based image reversible data hiding is suitable to use RZL to improve the performance. The PSNR can be raised by using different RZL methods, different parameters, different embedded capacity and different images. It is hard to apply RZL to given original data with different lengths. We proposed a method to solve that by adding some 0 s to the original data to form a complete block, and the RZL needs an attached mark for lossless recovery. In our experiments it has been shown that the PSNR of image with histogram-pairbasedreversibledatahiding by using RZL is higher than that without using RZL as the embedding data rate is not high. Zhang et al.'s RZL is better than Wong et al.'s in most cases. The average PSNR gain is about 1 dB for five test images at different payloads with the RZL used in this paper.
This paper presents a stereo image coding method using reversibledatahiding technique so that the right frame can be recovered losslessly and the left frame can be reconstructed with high visual quality. Utilizing t...
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ISBN:
(纸本)9783319193212;9783319193205
This paper presents a stereo image coding method using reversibledatahiding technique so that the right frame can be recovered losslessly and the left frame can be reconstructed with high visual quality. Utilizing the similarity between two frames in a stereo imagepair the required size of storage and transmission bandwidth for the stereo imagepair can be reduced to 50 %. A residual error matrix with a dynamic range of [-255, 255] is obtained by applying a frame-wise disparity algorithm which first shifts the left frame horizontally by a certain amount and then computes its difference to the right frame. Next, thus the generated residual error image with gray levels [0, 255] is obtained losslessly by a proposed labeling scheme. JPEG2000 lossy compression is then applied to the residual error image. The histogram-pairbasedreversibledatahiding scheme is then utilized to embed the JPEG2000 lossy compressed data into the right frame. Compared with the prior art, which uses a block-based disparity estimation algorithm and a location map basedreversibledatahiding, the proposed method has demonstrated that the stereo image can be reconstructed with higher visual quality and with faster processing speed. Specifically, the experiments have demonstrated that both the PSNR and visual quality of the reconstructed stereo imagepair are higher than those achieved by the prior arts.
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