The Experts below are selected from a list of 2112 Experts worldwide ranked by ideXlab platform
Tungshou Chen - One of the best experts on this subject based on the ideXlab platform.
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data embedding using pixel value differencing and diamond encoding with multiple base Notational System
Journal of Systems and Software, 2012Co-Authors: Wien Hong, Tungshou Chen, Chihwei LuoAbstract:We propose a new data hiding method that adaptively embeds data into pixel pairs using the diamond encoding (DE) technique. Because the human eyes tolerate more changes in edge and texture areas than in smooth areas, and pixel pairs in these areas often possess larger differences, the method exploits pixel value differences (PVD) to estimate the base of digits to be embedded into pixel pairs. Pixel pairs with larger differences are embedded with digits in larger base than those pixel pairs with smaller differences to maximize the payload and image quality. Two sophisticated pixel pair adjustment processes are provided to maintain the division consistency and to eliminate the overflow/underflow problem. Experimental results reveal that the proposed method offers better embedding performance compared to prior PVD-based works in terms of payload and image quality.
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a novel data embedding method using adaptive pixel pair matching
IEEE Transactions on Information Forensics and Security, 2012Co-Authors: Wien Hong, Tungshou ChenAbstract:This paper proposes a new data-hiding method based on pixel pair matching (PPM). The basic idea of PPM is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a given message digit. The pixel pair is then replaced by the searched coordinate to conceal the digit. Exploiting modification direction (EMD) and diamond encoding (DE) are two data-hiding methods proposed recently based on PPM. The maximum capacity of EMD is 1.161 bpp and DE extends the payload of EMD by embedding digits in a larger Notational System. The proposed method offers lower distortion than DE by providing more compact neighborhood sets and allowing embedded digits in any Notational System. Compared with the optimal pixel adjustment process (OPAP) method, the proposed method always has lower distortion for various payloads. Experimental results reveal that the proposed method not only provides better performance than those of OPAP and DE, but also is secure under the detection of some well-known steganalysis techniques.
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data hiding by exploiting modification direction technique using optimal pixel grouping
International Conference on Education Technology and Computer, 2010Co-Authors: Kai Yung Lin, Wien Hong, Tungshou Chen, Jeanne Chen, Wen Chin ChiangAbstract:Zhang and Wang proposed the Exploiting Modification Direction (EMD) in 2006. The pixels in the image were grouped into n pixels per group. A pixel in each group is modified one gray scale value at most to hide a secret digit in a (2n+1)-ary Notational System. In this paper, we proposed an optimized EMD method by analyzing the relationship between n and payload. The study involves using known payload on EMD to ascertain the least distortion result to begin the actual hiding process. Comparison results showed that the PSNR of optimized EMD embedding is significantly higher than OPAP and LSB by at least 3 dBs.
Wien Hong - One of the best experts on this subject based on the ideXlab platform.
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data embedding using pixel value differencing and diamond encoding with multiple base Notational System
Journal of Systems and Software, 2012Co-Authors: Wien Hong, Tungshou Chen, Chihwei LuoAbstract:We propose a new data hiding method that adaptively embeds data into pixel pairs using the diamond encoding (DE) technique. Because the human eyes tolerate more changes in edge and texture areas than in smooth areas, and pixel pairs in these areas often possess larger differences, the method exploits pixel value differences (PVD) to estimate the base of digits to be embedded into pixel pairs. Pixel pairs with larger differences are embedded with digits in larger base than those pixel pairs with smaller differences to maximize the payload and image quality. Two sophisticated pixel pair adjustment processes are provided to maintain the division consistency and to eliminate the overflow/underflow problem. Experimental results reveal that the proposed method offers better embedding performance compared to prior PVD-based works in terms of payload and image quality.
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a novel data embedding method using adaptive pixel pair matching
IEEE Transactions on Information Forensics and Security, 2012Co-Authors: Wien Hong, Tungshou ChenAbstract:This paper proposes a new data-hiding method based on pixel pair matching (PPM). The basic idea of PPM is to use the values of pixel pair as a reference coordinate, and search a coordinate in the neighborhood set of this pixel pair according to a given message digit. The pixel pair is then replaced by the searched coordinate to conceal the digit. Exploiting modification direction (EMD) and diamond encoding (DE) are two data-hiding methods proposed recently based on PPM. The maximum capacity of EMD is 1.161 bpp and DE extends the payload of EMD by embedding digits in a larger Notational System. The proposed method offers lower distortion than DE by providing more compact neighborhood sets and allowing embedded digits in any Notational System. Compared with the optimal pixel adjustment process (OPAP) method, the proposed method always has lower distortion for various payloads. Experimental results reveal that the proposed method not only provides better performance than those of OPAP and DE, but also is secure under the detection of some well-known steganalysis techniques.
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data hiding by exploiting modification direction technique using optimal pixel grouping
International Conference on Education Technology and Computer, 2010Co-Authors: Kai Yung Lin, Wien Hong, Tungshou Chen, Jeanne Chen, Wen Chin ChiangAbstract:Zhang and Wang proposed the Exploiting Modification Direction (EMD) in 2006. The pixels in the image were grouped into n pixels per group. A pixel in each group is modified one gray scale value at most to hide a secret digit in a (2n+1)-ary Notational System. In this paper, we proposed an optimized EMD method by analyzing the relationship between n and payload. The study involves using known payload on EMD to ascertain the least distortion result to begin the actual hiding process. Comparison results showed that the PSNR of optimized EMD embedding is significantly higher than OPAP and LSB by at least 3 dBs.
Chihwei Luo - One of the best experts on this subject based on the ideXlab platform.
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data embedding using pixel value differencing and diamond encoding with multiple base Notational System
Journal of Systems and Software, 2012Co-Authors: Wien Hong, Tungshou Chen, Chihwei LuoAbstract:We propose a new data hiding method that adaptively embeds data into pixel pairs using the diamond encoding (DE) technique. Because the human eyes tolerate more changes in edge and texture areas than in smooth areas, and pixel pairs in these areas often possess larger differences, the method exploits pixel value differences (PVD) to estimate the base of digits to be embedded into pixel pairs. Pixel pairs with larger differences are embedded with digits in larger base than those pixel pairs with smaller differences to maximize the payload and image quality. Two sophisticated pixel pair adjustment processes are provided to maintain the division consistency and to eliminate the overflow/underflow problem. Experimental results reveal that the proposed method offers better embedding performance compared to prior PVD-based works in terms of payload and image quality.
Hungruei Chen - One of the best experts on this subject based on the ideXlab platform.
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a high capacity reversible data hiding scheme with edge prediction and difference expansion
Journal of Systems and Software, 2009Co-Authors: Hsienchu Wu, Chweishyong Tsai, Hungruei ChenAbstract:To enhance the embedding capacity of a reversible data hiding System, in this paper, a novel multiple-base lossless scheme based on JPEG-LS pixel value prediction and reversible difference expansion will be presented. The proposed scheme employs a pixel value prediction mechanism to decrease the distortion caused by the hiding of the secret data. In general, the prediction error value tends to be much smaller in smooth areas than in edge areas, and more secret data embedded in smooth areas still meets better stego-image quality. The multiple-base Notational System, on the other hand, is applied to increase the payload of the image. With the System, the payload of each pixel, determined by the complexity of its neighboring pixels, can be very different. In addition, the cover image processed by the proposed scheme can be fully recovered without any distortion. Experimental results, as shown in this paper, have demonstrated that the proposed method is capable of hiding more secret data while keeping the stego-image quality degradation imperceptible.
Féron François-xavier - One of the best experts on this subject based on the ideXlab platform.
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Enjeux et évolution du système de notation dans Pression pour un(e) violoncelliste de Helmut Lachenmann
Montreal : Presses de l'Université de Montreal, 2015Co-Authors: Féron François-xavierAbstract:International audienceThis artical presents, in broad terms, the scoring Systems used by Helmut Lachenmann in Pression to indicate the techniques required of the performer in manipulating various elements of the cello (strings, soundboard, bridge, and tailpiece, as well as the bow). After briefly describing the main differences between the two editions of the work (1972 and 2012), we focus on five excerpts, specifying their time cues in video recordings by Lauren Radnofsky and David Stromberg. Thus, scores in hand, the reader can appreciate the precision and development of Lachenmann’s Notational System as they observe the performers’ actions, gaining a fuller understanding of the profoundly inventive sonic landscape of this work, which has become a classic of the solo cello repertoire.Cet article présente, dans les grandes lignes, le système de notation utilisé par Helmut Lachenmann dans Pression pour spécifier les actions que doit accomplir l’interprète sur les différentes parties du violoncelle (cordes, table d’harmonie, chevalet, cordier) mais aussi sur l’archet. Après avoir décrit succinctement les principales différences entre les deux éditions de l’œuvre (1972 vs 2012), nous en expliquons cinq passages en montrant systématiquement les deux versions de la partition et en indiquant les minutages correspondant aux enregistrements vidéo de Lauren Radnofsky et David Stromberg. Ainsi le lecteur pourra apprécier la précision et l’évolution du système de notation, visualiser les gestes que réalisent les interprètes en suivant la partition et entrer pleinement dans l’univers sonore profondément inouï de cette œuvre devenue un « classique » du répertoire pour violoncelle seul
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Enjeux et évolution du système de notation dans Pression pour un(e) violoncelliste de Helmut Lachenmann
'Consortium Erudit', 2015Co-Authors: Féron François-xavierAbstract:Cet article présente, dans les grandes lignes, le système de notation utilisé par Helmut Lachenmann dans Pression pour spécifier les actions que doit accomplir l’interprète sur les différentes parties du violoncelle (cordes, table d’harmonie, chevalet, cordier) mais aussi sur l’archet. Après avoir décrit succinctement les principales différences entre les deux éditions de l’oeuvre (1972 vs 2012), nous en expliquons cinq passages en montrant systématiquement les deux versions de la partition et en indiquant les minutages correspondant aux enregistrements vidéo de Lauren Radnofsky et David Stromberg. Ainsi le lecteur pourra apprécier la précision et l’évolution du système de notation, visualiser les gestes que réalisent les interprètes tout en suivant la partition et entrer ainsi pleinement dans l’univers sonore profondément inouï de cette oeuvre devenue un « classique » du répertoire pour violoncelle seul.This artical presents, in broad terms, the scoring Systems used by Helmut Lachenmann in Pression to indicate the techniques required of the performer in manipulating various elements of the cello (strings, soundboard, bridge, and tailpiece) as well as the bow. After briefly describing the main differences between the two editions of the work (1972 and 2012), we focus on five excerpts, specifying their time cues in video recordings by Lauren Radnofsky and David Stromberg. Thus, score excerpts in hand, the reader can appreciate the precision and development of Lachenmann’s Notational System as they observe the performers’ actions, gaining a fuller understanding of the profoundly inventive sonic landscape of this work, which has become a classic of the solo cello repertoire
