• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.820-822
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• 2002

본 논문에서는 저작권 보호(copyright protection)와 인증(authentication)을 동시에 할 수 있는 워더마킹 기법(watermarking method)을 제안한다. 저작권을 보호하기 위하여 원 영상을 웨이블릿 변환하여 얻어진 웨이블릿 계수 중 중요한 계수의 LSB(Least Significant Bit)와 워터마크를 XDR연산으로 워터마크를 삽입한다. 소비자측면에서는 전송 받은 디지털 컨텐츠에 대한 인위적인 조작 여부를 쉽고 간단하게 파악할 수 있다. 기존 방법의 경우 워터마크로 ID-number나 이진 영상을 사용한 반면 본 논문에서는 워터마크로 그레이 영상을 사용하므로 저작권 정보를 잘 표현할 수 있으며 워터마크 추출시에 원 영상을 필요로 하지 않는다.

• Journal of information and communication convergence engineering
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• v.15 no.3
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• pp.151-159
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• 2017

Steganography, which is popular as an image processing technology, is the art of using digital images to hide a secret message in such a way that its existence can only be discovered by the sender and the intended receiver. This technique has the advantage of concealing secret information in a cover medium without drawing attention to it, unlike cryptography, which tries to convert data into something messy or meaningless. In this paper, we propose two efficient least significant bit (LSB)-based steganography techniques for designing an image-based steganography system on chip using hardware description language (HDL). The proposed techniques manipulate the LSB plane of the cover image to embed text inside it. The output of these algorithms is a stego-image which has the same quality as that of the original image. We also implement the proposed techniques using the Altera field programmable gate array (FPGA) and Quartus II design software.

• Journal of Electrical Engineering and Technology
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• v.10 no.5
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• pp.2149-2154
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• 2015

This paper proposes a novel watermarking method to discover the tampers and localize it in digital image. The image which is to be used to generate a watermark is first wavelet decomposed and the edge feature from the sub bands of high frequency coefficients are retrieved to generate a watermark (Edge Feature Image) and which is to be embed on the cover image. Before embedding the watermark, the pixels of cover image are disordered through the Arnold Transform and this helps to upgrade the security of the watermark. The embedding of generated edge feature image is done only on the Least Significant Bit (LSB) of the cover image. The invisibleness and robustness of the proposed method is computed using Peak-Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) and it proves that the proposed method delivers good results and the proposed method also detects and localizes the tampers efficiently. The invisibleness of proposed method is compared with the existing method and it proves that the proposed method is better.

• IEIE Transactions on Smart Processing and Computing
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• v.5 no.4
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• pp.250-255
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• 2016

Steganography is the art and science of secure communication. It focuses on both security and camouflage. Steganographic techniques must produce the resultant stego-image with less distortion and high resistance to steganalysis attack. This paper is mainly concerned with two steganographic techniques-least significant bit (LSB)++ and the reversible histogram transformation function (RHTF). LSB++ is likely to produce less distortion in the output image to avoid suspicion, but it is vulnerable to steganalysis attacks. RHTF using a mod function technique is capable of resisting the most popular and efficient steganalysis attacks, such as the regular-singular pair attack and chi-squared detection steganalysis, but it produces a lot of distortion in the output image. In this paper, we propose a new steganographic technique by combining both methods. The experimental results show that the proposed technique overcomes the respective drawbacks of each method.

• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.466-477
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• 2014

Many image hiding schemes based on least significant bit (LSB) transformation have been proposed. One of the LSB-based image hiding schemes that employs diamond encoding was proposed in 2008. In this scheme, the binary secret data is converted into base n representation, and the converted secret data is concealed in the cover image. Here, we show that this scheme has two vulnerabilities: noticeable spots in the stego-image, i.e., a non-smooth embedding result, and inefficiency caused by rough re-adjustment of falling-off-boundary value and impractical base translation. Moreover, we propose a new scheme that is efficient and produces a smooth and high quality embedding result by restricting n to power of 2 and using a sophisticated re-adjustment procedure. Our experimental results show that our scheme yields high quality stego-images and is secure against RS detection attack.

• Proceedings of the KIEE Conference
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• 1988.07a
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• pp.571-573
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• 1988

A new ripple analog-to-digital converter(ADC) has been developed. It consists of two parallel ADCs and a switching network. The circuit operates on the input signal in two serial steps. First a coarse conversion is made to determine the most significant bits by the first parallel ADC. The results control a switching network to connect the series resistor segment, the analog signal is contained within, to the second parallel ADC. At second step, a fine conversion is made to determine the least signification bits by the second parallel ADC. The circuit requires 2(2$\frac{N}{2}$) comparators, 2(2$\frac{N}{2}$) resistors, and 2(2$\frac{N}{2}$) switches for N-bit resolution.

• Journal of KIISE:Computer Systems and Theory
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• v.28 no.6
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• pp.289-300
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• 2001

본 논문에서는 유한 필드 GF(2$_{m}$ ) 상에서 모듈러 곱셈 A($\chi$)B($\chi$) mod P($\chi$)을 수행하는 새로운 선형 문제-크기(full-size) 시스톨릭 어레이 구조인 LSB-first 곱셈기를 제안한다. 피연산자 B($\chi$)의 LSB(least significant bit)를 먼저 사용하는 LSB-first 모듈러 곱셈 알고리즘으로부터 새로운 비트별 순환 방정식을 구한다. 데이터의 흐름이 규칙적인 순환 방정식을 공간-시간 변환으로 새로운 시스톨릭 곱셈기를 설계하고 분석한다. 기존의 곱셈기와 비교할 때 제안한 곱셈기의 면적-시간 성능이 각각 10%와 18% 향상됨을 보여준다. 또한 같은 설계방법으로 곱셈과 제곱연산을 동시에 수행하는 새로운 시스톨릭 곱셈/제곱기를 제안한다. 유한 필드상의 지수연산을 위해서 제안한 시스톨릭 곱셈/제곱기를 사용할 때 곱셈기만을 사용 할 때보다 면적-시간 성능이 약 26% 향상됨을 보여준다.

• Journal of Korea Society of Industrial Information Systems
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• v.13 no.3
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• pp.23-30
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• 2008

A data hiding method based on least significant bit (LSB) substitution and multi-pixel differencing (MPD) is presented on the proposed method to improve the capacity of the hidden secret data and to provide an imperceptible visual quality. First, a sum of different values for four-pixel sub-block is calculated. The low value of the sum can be located on a smooth block and the high value is located on an edged block. The secret data are hidden into the cover image by LSB method in the smooth block, while MPD method in the edged block. The experimental results show that the proposed method has a higher capacity and maintains a good visual quality.

• Journal of Information Processing Systems
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• v.10 no.2
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• pp.256-270
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• 2014

A new morphed steganographic algorithm is proposed in this paper. Image security is a challenging problem these days. Steganography is a method of hiding secret data in cover media. The Least Significant Bit is a standard Steganographic method that has some limitations. The limitations are less capacity to hide data, poor stego image quality, and imperceptibility. The proposed algorithm focuses on these limitations. The morphing concept is being used for image steganography to overcome these limitations. The PSNR and standard deviation are considered as a measure to improve stego image quality and morphed image selection, respectively. The stego keys are generated during the morphed steganographic embedding and extracting process. Stego keys are used to embed and extract the secret image. The experimental results, which are based on hiding capacity and PSNR, are presented in this paper. Our research contributes towards creating an improved steganographic method using image morphing. The experimental result indicates that the proposed algorithm achieves an increase in hiding capacity, stego image quality, and imperceptibility. The experimental results were compared with state of the art steganographic methods.

• Journal of Information Processing Systems
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• v.15 no.2
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• pp.261-270
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• 2019

In order to protect secret digital documents against vulnerabilities while communicating, steganography algorithms are applied. It protects a digital file from unauthorized access by hiding the entire content. Pixel-value-difference being a method from spatial domain steganography utilizes the difference gap between neighbor pixels to fulfill the same. The proposed approach is a block-wise embedding process where blocks of variable size are chosen from the cover image, therefore, a stream of secret digital contents is hidden. Least significant bit (LSB) substitution method is applied as an adaptive mechanism and optimal pixel adjustment process (OPAP) is used to minimize the error rate. The proposed application succeeds to maintain good hiding capacity and better signal-to-noise ratio when compared against other existing methods. Any means of digital communication specially e-Governance applications could be highly benefited from this approach.