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Reversible Data Embedding Using Reduced Difference Expansion
Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007The general difference expansion method uses reversible integer transform to embed information into a digital image and perfectly restores the original image after removing the hidden data. In multilayer embedding applications, the operation of difference expansion may seriously degrade the visual quality of the embedded image.
Der-Chyuan Lou, Chien-Chung Lee
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Hiding Secret Data in Grayscale Images by Improving the Method of Reduced Difference Expansion
2019 12th International Conference on Information & Communication Technology and System (ICTS), 2019Everyone mostly does technology sophistication in sending data to convey information at this time; so, data security is needed. One of the methods used is data hiding in multi-media files such as image, audio, and video. However, there is a mismatch between image quality and insertion capacity in the embedding process.
Tohari Ahmad
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Reducing location map in prediction-based difference expansion for reversible image data embedding
Signal Processing, 2012In this paper, we present a reversible data embedding scheme based on an adaptive edge-directed prediction for images. It is known that the difference expansion is an efficient data embedding method. Since the expansion on a large difference will cause a significant embedding distortion, a location map is usually employed to select small differences ...
Ce Zhu, Weisi Lin, Hock Soon Seah
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Improved reduced difference expansion based reversible data hiding scheme for digital images
2009 9th International Conference on Electronic Measurement & Instruments, 2009In this paper, a new reversible data hiding based on logarithm transformation function named improved reduced difference expansion (IRDE) was proposed. Reduced difference expansion (RDE) proposed by Lou et al uses logarithm transformation function to reduce the distortion cased by difference expansion (DE) effectively.
Hou Jianjun
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Hiding Scheme based on Improved Reduced Difference Expansion in Multi-block Shape
Smart Innovation, Systems and Technologies, 2022Jau-Ji Shen +2 more
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A Data Hiding Scheme via Reduced Difference Expansion to Improve the Stego Quality
2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), 2023Tohari Ahmad +1 more
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Reversible Data Insertion in Encryption Domain Based on Reduced Quad Difference Expansion
2024 14th International Conference on Computer and Knowledge Engineering (ICCKE)Alireza Ghaemi +2 more
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Health Affairs, 2012
There are large differences in US health insurance coverage by racial and ethnic groups, yet there have been no estimates to date on how implementation of the Affordable Care Act will affect the distribution of coverage by race and ethnicity. We used a microsimulation model to show that racial and ethnic differentials in coverage could be greatly ...
Lisa, Clemans-Cope +4 more
openaire +2 more sources
There are large differences in US health insurance coverage by racial and ethnic groups, yet there have been no estimates to date on how implementation of the Affordable Care Act will affect the distribution of coverage by race and ethnicity. We used a microsimulation model to show that racial and ethnic differentials in coverage could be greatly ...
Lisa, Clemans-Cope +4 more
openaire +2 more sources
Ecological Research, 2007
Abstract To elucidate the expansion of bamboo ( Phyllostachys pubescens Mazel ex Houzeau de Lehaie) forests, we used multiple linear regression analysis and determined whether there were site differences for data obtained in Hirasawa, Otaki‐machi, Chiba Prefecture, and ...
Shigeo Suzuki, Nobukazu Nakagoshi
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Abstract To elucidate the expansion of bamboo ( Phyllostachys pubescens Mazel ex Houzeau de Lehaie) forests, we used multiple linear regression analysis and determined whether there were site differences for data obtained in Hirasawa, Otaki‐machi, Chiba Prefecture, and ...
Shigeo Suzuki, Nobukazu Nakagoshi
openaire +1 more source

