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Modified Multiway Pixel-Value Differencing Methods Based on General Quantization Ranges for Image Steganography

delete2022-01-01
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OA
AI
D
Da-Chun Wu *
Z
Zong-Nan Shih
J
Jheng-Han Wu
DOI:10.1109/ACCESS.2021.3138895delete
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摘要

摘要

En 中文
A modified multiway pixel-value differencing method for image steganography using general quantization ranges of pixel pairs' difference values is proposed, where the widths of the quantization ranges are not limited to be powers of two. The method can be employed to embed a secret message into a cover image with a higher embedding rate. The cover image is partitioned into non-overlapping complete or incomplete blocks using 1 x 3, 2 x 2, 2 x 3, or 3 x 3 block templates. The message bitstream, whose bit positions are randomized in advance by use of a random number generator, can be embedded in the resulting blocks. More specifically, one pixel in each block is set as a shared pixel, and the least-significantbit substitution method with the optimal pixel adjustment process is employed to embed message bits into the shared pixel. Next, the shared pixel in the block is combined with each remaining pixel to form a pixel pair, which is then utilized to embed message bits by a new pixel-value differencing method. Also, the use of non-power-of-two range widths is accomplished by a multiple-based number conversion mechanism, and the shared pixel in each block, as well as each related pixel pair whose two grayscale values pass a falling-off-boundary check, are used to embed the digits of the resulting multiple-based number. The experimental results show that the embedding rates yielded by the proposed method are higher than those yielded by existing multiway pixel-value differencing methods. The stego-images resulting from embedding secret messages retain good image quality, and the RS steganalysis process cannot detect the presence of the embedded secret messages.
Keyword:
General quantization ranges
multiway pixel-value differencing
steganography
data hiding
multiple-based number conversion

期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

N
national kaohsiung university of science & technology
学者数:
4.3K
论文数: 4.8K
被引数: 3
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