• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.15 no.4
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• pp.237-242
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• 2022

Acquiring high-quality images in control and measurement systems is one of the important factors. Among image acquisition technologies, SFF (Shape from Focus) is a technology for recovering a 3D shape by acquiring 2D images with different focus levels by moving an object at a predetermined step size along the optical axis. For SFF, when an object is moved at a constant step size, mechanical vibration, referred as jitter noise, occurs in each step along the optical axis. In this paper, a new state estimation filter is designed and applied for reducing the jitter noise. For the application of the proposed method, the jitter noise and focus curves are modeled as Gaussian function. Experimental results demonstrate the effectiveness of proposed method.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.153-154
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• 2008

본 논문의 Type-2 TSK 퍼지 논리 시스템(Fuzzy Logic System; FLS)은 전반부 멤버쉽 함수로 가우시안 형태의 Type-2 퍼지 집합을 이용하고 후반부는 계수가 상수인 1차 선형식을 사용한다. 또한 Type-1 TSK 퍼지 논리 시스템을 Type-2 TSK 퍼지 논리 시스템으로 확장하고 제안된 모델을 가스로 공정 데이터와 sugeno 데이터에 적용한다. 여기서 인위적인 노이즈를 갖는 입력 데이터를 사용하여 제안된 모델의 성능이 기존의 모델보다 우수함을 수치적인 예로 보인다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2000.11b
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• pp.161-166
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• 2000

본 논문에서는 영상 데이터의 저작권 보호를 위한 다중 워터마킹 기법을 제안한다. 다중 워터마킹은 하나의 컨텐츠에 복수개의 서로 다른 워터마크를 삽입하는 기법으로 각 워터마크들은 유일한 키로 정확한 추출이 가능해야 한다. 대역확산기법(spread spectrum)을 이용한 다중 워터마킹은 워터마크 삽입시 사용되는 키들간의 직교성(orthogonality)이 보장되어야 추출시 삽입된 워터마크들의 정확한 추출이 가능하게 된다. 따라서, 본 논문에서는 랜덤계열들을 Gram-schmidt 직교화 과정을 수행하여 직교화된 랜덤계열로 워터마크를 삽입하고 추출이 가능한 방법을 제안한다. 또한, 제안기법의 성능을 평가하기 위하여 가우시안 노이즈와 감마변환에 대하여 강인함을 보인다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.820-822
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• 2003

웨이블릿 변환 영역에 제안한 알고리즘으로 여러 공격에 강인한 워터마크를 삽입하고 성능을 분석하였다. 영상의 저작권 보호를 위해 웨이블릿 변환영역의 LH, HL, HH의 중대역에 128비트열의 워터마크를 삽입하였다. 제안한 방법의 강인성을 실험하기 위해 명도 변화, 콘트라스트 변화, 노이즈, 가우시안 등 과 같은 영상처리를 하였다. 실험결과 화질의 열화를 최소로 하여 워터마크를 삽입하여 높은 효율을 얻었다.

• Proceedings of the Korean Information Science Society Conference
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• 2002.10c
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• pp.535-537
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• 2002

본 논문에서는 HVS을 이용하여 웨이브렛기반 이미지 워터마킹 기법을 제안한다. 웨이브렛 변환 된 각 밴드 중 최고 저주파 밴드에 인접한 3개의 밴드를 선택하여 각 밴드에 워터마크를 반복적으로 삽입하여 견고성을 높였다. 또한 밴드 안의 모든 계수 값에 워터마크를 삽입하지 않고 선택적으로 삽입함으로써 비가시성을 고려하였다. 저주파 영역에 워터마크를 삽입함으로서 가우시안 노이즈나 JPEG, 잘라내기 등 여러 공격모델에 대해 견고성을 잘 보여주고 있다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.7
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• pp.36-41
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• 2018

An image intensifying device is equipment that makes weak objects visible in a dark environment, such as making nighttime bright enough to let objects be visually observed. It is possible to obtain a clear image by amplifying the light in the presence of a certain amount of weak light. However, in an extremely low-light environment, where even moonlight is not present, there is not enough light to amplify anything, and the sharpness of the screen deteriorates. In this paper, a method is proposed to improve image quality by using multiple filters and anisotropic diffusion for output noise of the image-intensifying device in extreme low-light environments. For the experiment, the output of the image-intensifying device was obtained under extremely low-light conditions, and signal processing for improving the image quality was performed. The configuration of the filters for signal processing uses anisotropic diffusion after applying a median filter and a Wiener filter for effective removal of salt-and-pepper noise and Gaussian noise, which constitute the main noise appearing in the image. Experimental results show that the improvement visually enhanced image quality. Both peak signal-to-noise ratio (PSNR) and SSIM, which are quantitative indicators, show improved values.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.1
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• pp.16-22
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• 2012

In this paper, we proposed a method of baseline correction for analysis of Raman spectra of platelets from Alzheimer's disease (AD) transgenic mice. Measured Raman spectra include the meaningful information and unnecessary noise which is composed of baseline and additive noise. The Raman spectrum is divided into the local region including several peaks and the spectrum of the region is modeled by curve fitting using Gaussian model. The additive noise is clearly removed from the process of replacing the original spectrum with the fitted model. The baseline correction after interpolating the local minima of the fitted model with linear, piecewise cubic Hermite and cubic spline algorithm. The baseline corrected models extract the feature with principal component analysis (PCA). The classification result of support vector machine (SVM) and maximum $a$ posteriori probability (MAP) using linear interpolation method showed the good performance about overall number of principal components, especially SVM gave the best performance which is about 97.3% true classification average rate in case of piecewise cubic Hermite algorithm and 5 principal components. In addition, it confirmed that the proposed baseline correction method compared with the previous research result could be effectively applied in the analysis of the Raman spectra of platelet.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.1
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• pp.232-238
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• 2013

This paper study the position estimation of MBK system according to the non-linear filter for non-Gaussian noise in underwater sensor networks. In the filter to estimate location, recently, the extended Kalman filter (EKF) and particle filter are getting attention. EKF is widely used due to the best algorithm in the Gaussian noise environment, but has many restrictions on the usage in non-Gaussian noise environment such as in underwater. In this paper, we propose the improved One-Dimension Particle Filter (ODPF) using the distribution re-interpretation techniques based on the maximum likelihood. Through the simulation, we compared and analyzed the proposed particle filter with the EKF in non-Gaussian underwater sensor networks. In the case of both the sufficient statistical sample and the sufficient calculation capacity, we confirm that the ODPF's result shows more accurate localization than EKF's result.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.10A
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• pp.969-979
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• 2002

This paper proposes an novel method of minimizing Interference which causes data decision error in digital wireless communications. In this method, in order to suppress ISI which is caused by the phase difference between the transmitted and received signal phases, the transmitted and received signals are always kept orthogonal by compensating the transmitted signal for detecting the phase noise and the delay of the received signal was implemented by MOS circuits. To delay the phase of the signal, additive white Gaussian noise (AWGN) environment was used. The phase and delay of the signal transmitted through AWGN channel were compensated in the modulator of the transmitter and the compensated signal was demodulated using quasi-direct conversion receiver and QPSK demodulator. ISI suppression was achieved by keeping the orthogonality between the compensated transmitted signal and the receive signal. The error probability of data decision was compared. By simulation the proposed system was proved to be effective in minimizing the ISI.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2291-2297
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• 2012

X-ray fluorescence sprectrum signal include the continuum. XRF analysis the components of material by the amplitude of peaks. XRF remove the noise and background. To remove the noise, we apply the smoothing filter. And background removal methods applied such as SNIP, Morphology, Threshold methods. In this paper, we applied Threshold using DWT. Interval threshold method divide the some blocks in particular levels. We propose the method that is divided the particular level.