The Experts below are selected from a list of 20127 Experts worldwide ranked by ideXlab platform
Chingnung Yang - One of the best experts on this subject based on the ideXlab platform.
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a hybrid scheme for enhancing Recovered Image quality in polynomial based secret Image sharing by modify and recalculate strategy
Workshop on Information Security Applications, 2020Co-Authors: Chingnung Yang, Yiyun YangAbstract:Abstract A hybrid approach for enhancing the Recovered Image quality in Shamir’s polynomial based secret Image sharing (SIS) is proposed in this paper. To remain computational efficiency, simple modular arithmetic is still used. The fundamental operation in the proposed method is mod P calculation, where P is a prime. A framework for the proposed method is firstly given. Mod PG and mod PS sharing algorithms are included. Then, a modify-and-recalculate strategy for mod PS sharing is proposed to make sure that each generated modular result is within the interval [ 0 , 2 N − 1 ] . Theoretical analysis on Recovered Image quality and extensive experiments are conducted. Recommendation on choosing optimal sharing method for different values of N (8 ≤ N ≤ 17) is given.
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improving Recovered Image quality in secret Image sharing by simple modular arithmetic
Signal Processing-image Communication, 2018Co-Authors: Chingnung Yang, Yi Ting Zhuang, Shenchieh HsuAbstract:Abstract Shamir’s polynomial based secret Image sharing has been widely adopted to protect an Image by splitting it into multiple shadows with G F ( 251 ) calculation. However, mod 251 operation requires pixel values in the secret Image to be modified into the range of [ 0 , 250 ] , and leads to Image distortion. In this paper, a method for improving Recovered Image quality in secret Image sharing is proposed. To obtain computational efficiency, simple modular arithmetic on a prime number is still adopted. Pixels in the secret Image are divided into non-overlapping blocks, and each block contains several N -bit subblocks. Modification strategies for different values of N are given to ensure that each subblock is fit for sharing, as well as theoretical analysis for choosing optimal N . Experimental results by the proposed method are demonstrated, illustrating improved Recovered Image quality and almost distortion free reconstructed Image are achieved.
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visual secret sharing scheme improving the contrast of a Recovered Image via different pixel expansions
Lecture Notes in Computer Science, 2006Co-Authors: Chingnung Yang, Tseshih ChenAbstract:Visual secret sharing (VSS) scheme is an Image sharing scheme that divides a secret pixel into several sub pixels (the number of sub pixels is called the pixel expansion) and the secret Image is visually revealed without additional computations. However the contrast of Recovered Image is poor and thus the VSS framework is always a research issue and not a practical scheme. In this paper, we introduce a new framework which prioritizes the pixels with different pixel expansions to reconstruct a high-quality Image for practical use. Also, integrating the optical character recognition with the proposed VSS scheme we show a new automated visual authentication scheme.
Clara Cruzramos - One of the best experts on this subject based on the ideXlab platform.
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an effective fragile watermarking scheme for color Image tampering detection and self recovery
Signal Processing-image Communication, 2020Co-Authors: Javier Molinagarcia, Beatriz P Garciasalgado, Volodymyr Ponomaryov, Rogelio Reyesreyes, Sergiy Sadovnychiy, Clara CruzramosAbstract:Abstract In this paper, a fragile watermarking scheme for color-Image authentication and self-recovery is proposed. Original Image is divided into non-overlapping blocks, and for each i -th block, the watermarks used for recovery and authentication are generated, which are embedded into a different block according to an embedding sequence given by a permutation process. The designed scheme embeds the watermarks generated by each block within the 2-LSB, where a bit-adjustment phase is subsequently applied to increase the quality of the watermarked Image. In order to increase the quality of the Recovered Image, we use in the post-processing stage the bilateral filter that efficiently suppresses noise preserving Image edges. Additionally, in the tamper detection process high accuracy is achieved employing a hierarchical tamper detection algorithm. Finally, to solve tampering coincidence problem, three recovery watermarks are embedded in different positions to reconstruct a specific block, and a proposed inpainting algorithm is implemented to regenerate those regions affected by this problem. Simulation results demonstrate that the watermarked Images appear to demonstrate higher quality, and the proposed novel scheme can reconstruct the alteration of extremely high rates (up to 80%), obtaining good quality for altered regions that are self-Recovered with higher visual performance compared with a similar scheme from state of the-art methods.
Wei Sun - One of the best experts on this subject based on the ideXlab platform.
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high capacity reversible data hiding in encrypted Images by prediction error
Signal Processing, 2014Co-Authors: Wei SunAbstract:In recent years, signal processing in encrypted Images received much attention from academia due to the privacy preserving property. Reversible data hiding in encrypted Images is a technique that embedded additional data into an encrypted Image without accessing the content of the original Image, the embedded data can be extracted and the encrypted Image can be Recovered to the original one. In this paper, two reversible data hiding methods in encrypted Images, namely a joint method and a separable method, are introduced by adopting prediction error. In the joint method, data extraction and Image reconstruction are performed at the same time. The reversibility, number of incorrect extracted bits are significantly improved while maintaining good visual quality of Recovered Image, especially when embedding rate is high. In the separable method, data extraction and Image recovery are separated. The separable method also provides improved reversibility and good visual quality of Recovered Image for high payload embedding.
Luis Rosalesroldan - One of the best experts on this subject based on the ideXlab platform.
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semi fragile watermarking based color Image authentication with recovery capability
International Conference on Telecommunications, 2015Co-Authors: Luis Rosalesroldan, Jinhui Chao, Manuel Cedillohernandez, Mariko Nakanomiyatake, Hector PerezmeanaAbstract:A watermarking method for color Image content authentication with localization and recovery capability of the tampered areas is proposed, in which a halftone Image is used as approximate version for the luminance information and the coefficients of the Discrete Cosine Transform (DCT) of the two chrominance channels are encoded and used as approximate version of color information. The luminance and color information are embedded into the lower sub-bands of the Integer Wavelet Transform (IWT) of the host Image using the Quantization Index Modulation-Dither Modulation (QIM-DM). The luminance information is embedded into the LL sub-band, while the color information is embedded redundantly into the LH and HL sub-bands in order to increase the robustness against JPEG compression. Moreover, a Multilayer Perceptron (MLP) Neural Network is employed as inverse halftoning process to improve the Recovered Image quality. The experimental results demonstrate the effectiveness of the proposed method compared with previously proposed methods.
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watermarking based Image authentication with recovery capability using halftoning technique
Signal Processing-image Communication, 2013Co-Authors: Luis Rosalesroldan, Manuel Cedillohernandez, Mariko Nakanomiyatake, Hector Perezmeana, Brian M KurkoskiAbstract:In this paper two watermarking algorithms for Image content authentication with localization and recovery capability of the tampered regions are proposed. In both algorithms, a halftone version of the original gray-scale Image is used as an approximated version of the host Image (Image digest) which is then embedded as a watermark sequence into given transform domains of the host Image. In the first algorithm, the Integer Wavelet Transform (IWT) is used for watermark embedding which is denominated WIA-IWT (Watermarking-based Image Authentication using IWT), while in the second one, the Discrete Cosine Transform (DCT) domain is used for this purpose, we call this algorithm WIA-DCT (Watermarking-based Image Authentication using DCT). In the authentication stage the tampered regions are detected using the Structural Similarity index (SSIM) criterion, which are then Recovered using the extracted halftone Image. In the recovery stage, a Multilayer Perceptron (MLP) neural network is used to carry out an inverse halftoning process to improve the Recovered Image quality. The experimental results demonstrate the robustness of both algorithms against content preserved modifications, such as JPEG compression, as well as an effective authentication and recovery capability. Also the proposed algorithms are compared with some previously proposed content authentication algorithms with recovery capability to show the better performance of the proposed algorithms.
Jing Dong - One of the best experts on this subject based on the ideXlab platform.
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reversible data hiding in encrypted Image with separable capability and high embedding capacity
Information Sciences, 2018Co-Authors: Chuan Qin, Xiangyang Luo, Jing DongAbstract:Abstract In this paper, a high-capacity reversible data hiding scheme in encrypted Image with separable capability is proposed. In order to mask Image contents, original Image is first encrypted in a blockwise manner based on stream cipher with the encryption key. By the pre-processing of run-length coding (RLC) incorporating with Huffman coding, all encrypted blocks are categorized into two sets according to their encoded lengths. Then, the data hider conducts data embedding for the two types of blocks through different mechanisms and the data-hiding key. For the blocks with shorter encoded lengths, their pixel differences are compressed by RLC; for the blocks with longer encoded lengths, matrix compression is conducted on LSB layers. Thus, a large amount of spare room is vacated to embed length bits, compressed bits, hash bits, location-map bits and additional bits. On the receiver side, through a progressive decryption process, a directly-decrypted Image similar with the original Image can be obtained with the encryption key; through bit parsing, the embedded additional bits can be correctly extracted with the data-hiding key. With both the two keys, besides direct decryption and data extraction, the blocks of the first type can be Recovered by RLC decoding, and the blocks of the second type can be Recovered with the assist of coding length judgment and hash authentication. Experimental results demonstrate that, our scheme can generally achieve better performances, including higher embedding rate and better visual quality of the direct-decrypted Image and the final Recovered Image, than some of the state-of-the-art schemes.
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fragile Image watermarking with pixel wise recovery based on overlapping embedding strategy
Signal Processing, 2017Co-Authors: Ping Ji, Xinpeng Zhang, Jing Dong, Jinwei WangAbstract:Overlapping-block embedding strategy is introduced in the proposed scheme.Two possible embedding modes are utilized for the blocks based on the locations.Authentication-bits are generated according to the complexity of each block.Block-wise tampering detection and pixel-wise content recovery are collaborated.Better tampering recovery performance can be achieved than some of reported schemes. In this paper, we propose a new fragile watermarking scheme with high-quality recovery capability based on overlapping embedding strategy. The block-wise mechanism for tampering localization and the pixel-wise mechanism for content recovery are collaborated in the proposed scheme. With the assist of interleaving operation, reference bits are derived from mean value of each overlapping block, and then are dispersedly embedded into 1 LSB or 2 LSB layers of the Image, corresponding to horizontal-vertical mode and diagonal mode, respectively. Authentication bits are hidden into adaptive LSB layers of the central pixel for each block according to block complexity. On the receiver side, after locating tampered blocks and reconstructing mean-value bits, according to the types of tampered pixels in each overlapping block, three pixel-wise manners are exploited for tampering recovery based on different neighboring blocks. Even if the tampered area is extensive, the proposed scheme can achieve better quality of Recovered Image compared with some of state-of-the-art schemes.