• 센서학회지
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• 제10권6호
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• pp.317-327
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• 2001

본 논문에서는 시료가 갖는 pH값의 2차원 분포를 효과적으로 측정하기 위하여, 회전 격자를 이용한 변조 광을 LAPS에 주사함으로써 PH이미지를 검출하는 방법을 제안하였다. 이는 회전 격자를 이용하여 각 픽셀별로 다른 주파수로 변조된 광을 조사하고 이에 따른 광 전류의 주파수 성분별 진폭을 계산함으로써 한 행의 신호 성분을 동시에 측정할 수 있다. 제안된 검출방법을 실험하기 위하여 LAPS의 특성을 고려한 회전격자를 설계 제작하고 제작된 회전 격자와 패턴 영상을 이용한 주파수성분 분석에 의해 이미지를 검출하였다. 실험 결과로부터 회전 격자를 이용한 제안된 검출 방식이 약22-24dB의 PSNR을 가지는 $30{\times}30$화소의 이미지를 기존의 방식보다 30배 빨리 측정할 수 있음을 확인하였다.

• 한국음향학회지
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• 제30권3호
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• pp.142-148
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• 2011

본 연구는 컬러이미지에서 특정 사운드를 연상하는 인간의 공감각적 기능을 모방하는 지능로봇의 개발을 최종 목표로 하고 있으며, 이는 컬러이미지와 사운드의 상호변환에 기초하여 이루어질 수 있다. 최종 목표의 첫 번째 단계로서, 본 연구는 컬러 이미지에서 사운드로의 변환을 이용한 기본 시스템의 구축에 초점을 맞추었다. 본 연구에서는 빛과 소리사이의 물리적 주파수 정보로부터 그 유사성에 기초하여 컬러이미지에서 사운드로 변환하는 방법을 제시한다. 컬러이미지에서 사운드로 변환하는 방법은 RGB-to-HSI 컬러모델 변환을 통한 HSI 히스토그램을 사용하고 Microsoft Visual C++을 이용하여 코딩함으로써 구현되었다. 두 가지 컬러이미지를 사용하여 시뮬레이션 실험을 하였고, 그 결과, 각각의 입력 컬러이미지의 색상(Hue), 채도 (Saturation) 및 명도 (Intensity)를 사운드의 기본주파수 (F0: Fundamental Frequency), 하모닉 (Harmonics) 및 옥타브 (Octave)로 각각 변환한다. 제안된 시스템을 통하여 변환된 사운드 요소들을 Csound를 이용, 합성함으로써 웨이브(wav) 파일 포맷 음원을 최종 생성하였다.

• 복식문화연구
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• 제21권6호
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• pp.827-843
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• 2013

The purpose of this study is to identify the antecedents of the attitudes toward purchasing fast fashion brands and the frequency of purchasing fast fashion brands. As antecedents, a few brand-related variables and a consumer-related variable were considered. Perceived perishability, perceived scarcity, perceived quality, and perceived low price were included as brand-related variables and congruity between self image and fast fashion brand image was included as a consumer-related variable. It was hypothesized that both brand-related and consumer-related variables directly influence the attitudes toward purchasing fast fashion brands and then influence the frequency of purchasing fast fashion brands. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred twenty seven questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. The results showed that all the fit indices for the variable measures were quite acceptable. In addition, the overall fits of the model suggest that the model fits the data well. The hypothesized relationship test proved that perceived perishability, perceived quality, and congruity between self image and fast fashion brand image influence the attitudes toward purchasing fast fashion brands and then influence the frequency of purchasing fast fashion brands. The results suggest some effective marketing strategies for marketers in the fast fashion industry.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1007-1010
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• 2002

In this paper, we present a new blocking artifact reduction algorithm using interpolation and signal adaptive filter (SAF) based on the edge map. Generally, block-based coding, such as JPEG and MPEG, is the most popular image compression method. However, for high compression it produces noticeable blocking and ringing artifacts in the decoded image. In proposed method, all the block is classified into low and high frequency blocks in block classification procedure. And edge map is obtained by using Sobel operator on decoded image. And according to the block property we applied blocking artifacts reduction algorithm. Namely, four neighbor low frequency block is participated in interpolation based on edge map. And ringing artifacts is removed by applying a signal adaptive filter around the edge using edge map in high frequency block. The computer simulation results confirmed a better performance by the proposed method in both the subjective and objective image qualities.

• Journal of the Optical Society of Korea
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• 제18권4호
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• pp.341-344
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• 2014

This study proposes a modified sub-aperture stitching algorithm, which uses an image sharpening algorithm and particle swarm optimization to improve the stitching accuracy. In sub-aperture stitching interferometers with high positional accuracy, the high-frequency components of measurements are more important than the low-frequency components when compensating for position errors using a sub-aperture stitching algorithm. Thus we use image sharpening algorithms to strengthen the high-frequency components of measurements. When using image sharpening algorithms, sub-aperture stitching algorithms based on the least-squares method easily become trapped at locally optimal solutions. However, particle swarm optimization is less likely to become trapped at a locally optimal solution, thus we utilized this method to develop a more robust algorithm. The results of simulations showed that our algorithm compensated for position errors more effectively than the existing algorithm. An experimental comparison with full aperture-testing results demonstrated the validity of the new algorithm.

• 대한기계학회:학술대회논문집
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• 대한기계학회 2001년도 춘계학술대회논문집B
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• pp.176-180
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• 2001

In this paper, we have studies the images have been reconstructed by using combination of images which has been acquired by the variation of operating frequency. When inner images has been reconstructed, inner image has been superposition by surface state effect. In this case, image enhancement the phase object and enhance the contrast of inner image. In the result of the specimen for the round defect with 2mm diameter, for the types of the depth are 1.5mm, 2mm, 2.5mm, and 3mm, it has been show that the shape of defect has better than before this processing and phase contrast grow large twice. And we have constructed the acoustic microscope by using quadrature detector that is able simultaneously to acquired the amplitude and phase of the reflected signal. Father more we have studied the reconstruction method of the amplitude and phase images and the enhancement method of the defect images' contrast.

• 대한방사선기술학회지:방사선기술과학
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• 제16권2호
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• pp.19-26
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• 1993

Magnetic Resonance Image represents three-dimensional diagnostic imaging technique using both nuclear magnetic resonance phenomenon and computer. Compared with computed tomography (CT), MRI have advantages harmless to patient's body, three-dimensional image with high resolution and disadvantages long data acquisition time because of long T1 relaxation time, relatively low signal to noise ratio, high cost of setting, also. As physiologic motion of tissue results in motion ghost in MRI, high 2.0Tesla make improve low signal to noise ratio. This study have aim to improve image quality with controling motion ghost of tissue. Supposing a moving pixel in constant frequency, one pixel make two ghosts which are same size and different anti-phase. So, this study will show adjust parameter on locational control of motion ghost. Author made moving phantom replaced by respiratory movement of human, researched change of motion frequency, FOV by location shift, and them decided optimal FOV (field of view). The results are as follows: 1. The frequency content of the motion determines how far the image always appear in phase-encoding direction, the morphology of the ghost image is characteristic of the direction of the motion and its amplitude. 2. Double FOV of fixed signal object for locational control of motion ghost is recommended. Decreasement of spatial resolution by increasing FOV can compensate on increasing of matrix in spite of scan time increasement.

• IEIE Transactions on Smart Processing and Computing
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• 제3권2호
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• pp.41-51
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• 2014

This paper describes a method to estimate the noise power using the minimum statistics approach, which was originally proposed for audio processing. The proposed minimum statistics-based method separates a noisy image into multiple frequency bands using the three-level discrete wavelet transform. By assuming that the output of the high-pass filter contains both signal detail and noise, the proposed algorithm extracts the region of pure noise from the high frequency band using an appropriate threshold. The region of pure noise, which is free from the signal detail part and the DC component, is well suited for minimum statistics condition, where the noise power can be extracted easily. The proposed algorithm reduces the computational load significantly through the use of a simple processing architecture without iteration with an estimation accuracy greater than 90% for strong noise at 0 to 40dB SNR of the input image. Furthermore, the well restored image can be obtained using the estimated noise power information in parametric image restoration algorithms, such as the classical parametric Wiener or ForWaRD image restoration filters. The experimental results show that the proposed algorithm can estimate the noise power accurately, and is particularly suitable for fast, low-cost image restoration or enhancement applications.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.153-162
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• 2017

Today, weather radar is used as a key tool for modern high-tech weather observations and forecasts, along with a wide variety of ground gauges and weather satellites. In this paper, we propose a frequency transform based weather radar image processing technique to improve the weather radar image damaged by beam blocking and clutter removal in order to minimize the uncertainty of the weather radar observation. In the proposed method, DCT based mean energy correction is performed to improve damage caused by beam shielding, and DWT based morphological image processing and high frequency cancellation are performed to improve damage caused by clutter removal. Experimental results show that the application of the proposed method to the damaged original weather radar image improves the quality of weather radar image adaptively to the weather echo feature around the damaged area. In addition, radar QPE calculated from the improved weather radar image was also qualitatively confirmed to be improved by the damage. In the future, we will develop quantitative evaluation scales through continuous research and develop an improved algorithm of the proposed method through numerical comparison.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권12호
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• pp.2340-2354
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• 2011

A new and secure image steganographic scheme based on nonuniform discrete Fourier transform (NDFT) is proposed in this paper. First, the chaotic system is introduced to select embedding points randomly in NDFT domain suitable range, and NDFT is implemented on every non-overlapping block of eight consecutive pixels. Second, the secret messages are scrambled by chaotic systems, and embedded into frequency coefficients by quantization method. The stego-image is obtained by inverse NDFT (INDFT). Besides, in order to discriminate tampers, the low frequency wavelet coefficients of 7 most significant bits (MSBs) of the stego-image are converted into the binary sequence after nonuniform scalar quantization. Then the obtained binary sequence is scrambled by the chaotic systems, and embedded into the least significant bit (LSB) of the stego-image. Finally, the watermarked stego-image can be obtained by a new improved LSB steganographic method. The embedded secret messages can be extracted from the watermarked stego-image without the original cover image. Experimental results show the validity of the proposed scheme, and dual statistics attacks are also conducted to indicate the security.