• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.1442-1445
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• 2007

Just noticeable differences (jnds) of autocorrelation function (ACF) parameters - Phi (0), Tau 1 and Phi 1 - of household refrigerator noise were investigated by psychoacoustical analyses. Phi (0) of five refrigerators' noise was changed with equal (${\pm}$) interval level of 0.5-1.0 dB up to five intervals by manipulating sound pressure level of the noise. Tau 1 and Phi 1 were varied with equal (${\pm}$) interval of around 0.10 ms and 0.02, respectively. Pitch shifting and strengthen methods were applied for the Tau 1 and Phi 1 variations. As results of subjective evaluations, about 2.0 dB was shown as jnd of Phi (0). The values of 0.30 ms and 0.06 were found as jnds of Tau 1 and Phi 1, respectively. The jnd results of each ACF parameter can be applied to explain substantial amount of sound quality (SQ) enhancement in the SQ prediction indices which were proposed in the authors' previous study [Sato et al. (2007) J. Acoust. Soc. Am.].

• 한국식품과학회지
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• 제27권5호
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• pp.646-651
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• 1995

순수 물질 수용액의 표면장력치 측정과 JND를 통한 맛 관능 분석에 의해 쓴 맛 물질의 표면 장력과 쓴 맛 간의 상관성을 연구한 결과, 모든 쓴 맛 물질 수용액은 용액의 농도가 증가함에 따라 표면 장력이 감소되어 Szyszkowski 방정식과 Techplot program으로 표면 장력 감소 곡선을 수학적으로 나타낼 수 있었고 또한 관능 분석에 의한 JND 맛 곡선도 같은 방법으로 묘사하여 상호 비교됨을 알 수 있었다. 또한 측정된 모든 쓴 맛 성분들에 대하여 표면 장력 곡선으로부터 상수 a, b 값을, 맛 곡선으로부터 상수 A, B 값을 계산하여 쓴 맛 인지역치 $log\;C_{1}$과 평형 상수 b 값 간의 음의 상관 관계식을 구하였다. 또한 쓴 맛 인지역치 농도 $log\;C_{1}$과 기계적인 측정치로 산출된 parameter들의 상관성을 PV-wave 프로그램을 이용해서 3차원적으로 비교한 $log\;C_{1}$/a/b와 $log\;C_{1}$/A/B간의 상관관계는 주목할 만하며 이는 용액과 기체간의 계면 system에서의 계면 흡착 모델이 구강 내에서의 조직과 용액 간의 관능적 모델에도 적용됨을 나타내며 나아가 표면장력치의 측정이, 신경자극 전달 측정을 위한 Beidler의 이론과 Szyszkowski 방정식을 이용하여 쓴 맛을 기계적으로 측정하는 독립적인 방법을 개발하는데 응용될 수 있음을 시사해 준다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -3
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• pp.1511-1514
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• 2002

This paper presents content adaptive image watermark embedding using stochastic visual model based on multiwavelet transform. To embedding watermark, the original image is decomposed into 4 levels using a discrete multiwavelet transform, then a watermark is embedded into the JND(just noticeable differences) of the image each subband. The perceptual model is applied with a stochastic approach fer watermark embedding. This is based on the computation of a NVF(noise visibility function) that have local image properties. The perceptual model with content adaptive watermarking algorithm embed at the texture and edge region for more strongly embedded watermark by the JND. This method uses stationary Generalized Gaussian model characteristic because watermark has noise properties. The experiment results of simulation of the proposed watermark embedding method using stochastic visual model based on multiwavelet transform techniques was found to be excellent invisibility and robustness.

• 전자공학회논문지S
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• 제35S권4호
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• pp.85-95
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• 1998

In this paper, a new watermarking method for a copy protectionof images is proposed. The proposed method adaptively embeds a watermark in the frequency domain of images using human visual system model. For this purpose, the Just Noticeable Differences(JNDs) of each frequency coeffeicient value of a luminance plane is first found using Watson and Solomon's visual system model. An invisible maximum watermark value with is different in every position according to the characteristics of images is determined usig JND and Minkowski metric. A low frequency domain is divided into two sets based on a PN-sequence to protect thewatermark from the attack. The watermarks are added to one set of coefficients and detecting a watermark, the difference between the mean values of absolute coefficient values of both sets is calculated. The embedded watermark is tested using statistical hypothesis based on test static dertermined by the ean difference. To demonstrate the perfromance of the proposed method, the new watermarking method is applied to a high frequency image and low frequency images. Experimenatal results show the watermark is invisible and robust to JPEGlossy compression and noise.

• 전자공학회논문지B
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• 제31B권8호
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• pp.160-171
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• 1994

The wide dynamic range and severely attenuated contrast in mediastinal area appearing in typical chest radiographs have often caused difficulties in effective visualization and diagnosis of lung diseases. This paper proposes a new adaptive image enhancement technique which potentially solves this problem and there by improves observer performance through image processing. In the proposed method image processing is applied to the chest radiograph with different processing parameters for the lung field and mediastinum adaptively since there are much differences in anatomical and imaging properties between these two regions. To achieve this the chest radiograph is divided into the lung and mediastinum by gray level thresholding using the cumulative histogram and the dynamic range compression and local contrast enhancement are carried out selectively in the mediastinal region. Thereafter a gray scale transformation is performed considering the JND(just noticeable difference) characteristic for effective image displa. The processed images showed apparenty improved contrast in mediastinum and maintained moderate brightness in the lung field. No artifact could be observed. In the visibility evaluation experiment with 5 radiologists the processed images with better visibility was observed for the 5 important anatomical structures in the thorax.