• Title/Summary/Keyword: distortion sensitivity

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Objective Image Quality Metric for Block-Based DCT Image Coder Using Structural Distortion Measurement (구조적 왜곡특성 측정을 이용한 블록기반 DCT 영상 부호화기의 객관적 화질평가)

  • Chung Tae-Yun
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.52 no.7
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    • pp.434-441
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    • 2003
  • This paper proposes a new quantitative and objective image quality metric which is essential to verify the performance of block-based DCT image coding. The proposed metric considers not only global distortion of coded image such as spatial frequency sensitivity and channel masking using HVS based multi-channel model, but also structural distortions caused block-based coding. The experimental results show a strong correlation between proposed metric and subjective metric.

Objective Image Quality Metric for Block-Based DCT Image Coder-using Structural Distortion Measurement (구조적 왜곡특성 측정을 이용한 블록기반 DCT 영상 부호화기의 객관적 화질평가)

  • Jeong, Tae Yun
    • The Transactions of the Korean Institute of Electrical Engineers C
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    • v.52 no.7
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    • pp.434-434
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    • 2003
  • This paper proposes a new quantitative and objective image quality metric which is essential to verify the performance of block-based DCT image coding The proposed metric considers not only global distortion of coded image such as spatial frequency sensitivity and channel masking using HVS based multi-channel model, but also structural distortions caused block-based coding. The experimental results show a strong correlation between propose(B metric and subjective metric.

Car transmission shaft distortion correction system based on adaptive PID controller using displacement sensors (변위센서를 이용한 적응적 PID제어기반 자동차 변속기 샤프트 교정시스템)

  • Choi, Sang-Bok;Ban, Sang-Woo;Kim, Ki-Taeg
    • Journal of Sensor Science and Technology
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    • v.19 no.5
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    • pp.375-384
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    • 2010
  • In this paper, we proposed a new shaft distortion correction system having an adaptive PID controller using displacement sensors, which is adaptively reflecting variations of shaft strength owing to irregular heat treatment during an annealing process and sensitivity to the seasonal temperature changes. Generally, the shafts are annealed by heat treatment in order to enlarge the strength of the shaft, which causes an distortion of a shaft such as irregular bending of the shaft. In order to correct such a distortion of the shaft, a mechanical pressure is properly impacted to the distorted shaft. However, the strength of every shaft is different from each other owing to irregular annealing and seasonal temperature changes. Especially, the strength of a thin shaft such as a car transmission shaft is much more sensitive than that of a thick shaft. Therefore, it is very important for considering the strength of each shaft during correction of the car transmission shaft distortion in order to generate proper mechanical pressure. The conventional PID controller for the shaft distortion correction system does not consider each different strength of each shaft, which causes low productivity. Therefore, we proposed a new PID controller considering variations of shaft strength caused by seasonal temperature changes as well as irregular heat treatment and different cooling time. Three displacement sensors are used to measure a degree of distortion of the shaft at three different location. The proposed PID controller generates adaptively different coefficients according to different strength of each shaft using appropriately obtained pressure times from long-term experiments. Consequently, the proposed shaft distortion correction system increases the productivity about 30 % more than the conventional correction system in the real factory.

CAD-Based 3-D Object Recognition Using Hough Transform (Hough 변환을 이용한 캐드 기반 삼차원 물체 인식)

  • Ja Seong Ku;Sang Uk Lee
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.9
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    • pp.1171-1180
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    • 1995
  • In this paper, we present a 3-D object recognition system in which the 3-D Hough transform domain is employed to represent the 3-D objects. In object modeling step, the features for recognition are extracted from the CAD models of objects to be recognized. Since the approach is based on the CAD models, the accuracy and flexibility are greatly improved. In matching stage, the sensed image is compared with the stored model, which is assumed to yield a distortion (location and orientation) in the 3-D Hough transform domain. The high dimensional (6-D) parameter space, which defines the distortion, is decomposed into the low dimensional space for an efficient recognition. At first we decompose the distortion parameter into the rotation parameter and the translation parameter, and the rotation parameter is further decomposed into the viewing direction and the rotational angle. Since we use the 3-D Hough transform domain of the input images directly, the sensitivity to the noise and the high computational complexity could be significantly alleviated. The results show that the proposed 3-D object recognition system provides a satisfactory performance on the real range images.

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Color image quantization considering distortion measure of local region block on RGB space (RGB 공간상의 국부 영역 블록의 왜곡척도를 고려한 칼라 영상 양자화)

  • 박양우;이응주;김경만;엄태억;하영호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.4
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    • pp.848-854
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    • 1996
  • Many image display devices allow only a limited number of colors to be simultaneously displayed. in disphaying of natural color image using color palette, it is necessary to construct an optimal color palette and the optimal mapping of each pixed of the original image to a color from the palette. In this paper, we proposed the clustering algorithm using local region block centered one color cluster in the prequantized 3-D histogram. Cluster pairs which have the least distortion error are merged by considering distortion measure. The clustering process is continued until to obtain the desired number of colors. The same as the clustering process, original color value. The proposed algorithm incroporated with a spatial activity weighting value which is reflected sensitivity of HVS quantization errors in smoothing region. This method produces high quality display images and considerably reduces computation time.

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A SENSITIVITY STUDY OF THE DISTORTED INLET FLOW IN AXIAL TURBOMACHINERY WITH NOVEL INTEGRAL SCHEME

  • Ng Eddie Yin-Kwee;Liu Ningyu;Lim Hong Ngiap;Tan Daniel
    • Journal of computational fluids engineering
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    • v.10 no.1
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    • pp.51-55
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    • 2005
  • For proper installation, operation and performance of axial flow jet engines in aircrafts, the impacts and effects of inlet flow distortion in axial compressors have to be understood. Inlet distortion conditions may cause component-mismatch and instability problems known as rotating stall, and severe oscillations of mass flow rate called surge or a combination of both. Typical effects of this phenomenon include stresses and wear on the compressor blading, destruction of entire jet engines due to the failure of airfoil and mechanical failure or interruption of the combustion process. Therefore, it is important to study inlet flow distortion and its propagation effects to minimize and hence to prevent the occurrence of such calamity. The current novel integral method with parametric analysis signifies its validity to this field of research and offers much potential for further improvements. The present effort further indicates that this simple method may be flourishing in the problems of strongly distorted flow and propagating stall in axial compressor. It is therefore believe that using a more realistic and flexible velocity and pressure profiles could develop this approach further.

Correction of Secondary ion Mass Spectrometry depth profile distorted by oxygen flooding (Oxygen flooding에 의해 왜곡된 SIMS depth profile의 보정)

  • 이영진;정칠성;윤명노;이순영
    • Journal of the Korean Vacuum Society
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    • v.10 no.2
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    • pp.225-233
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    • 2001
  • Distortion of Secondary Ion Mass Spectrometry(SIMS) depth profile, which is usually observed when the analysis is made using oxygen flooding on the surface of Si with oxide on it, has been corrected. The origin of distortion has been attributed to depth calibration error due to sputter rate difference and concentration calibration error due to relative sensitivity factor(RSF) difference between $SiO_2$ and Si layers, In order to correct depth calibration error, artifact in analysis of sodium ion on oxide was used to define the interface in SIMS depth profile and oxide thickness was measured with SEM and XPS. The differences of sputter rate and RSF between two layers have been attributed to volume swelling of Si substrate occurred by oxygen flooding induced oxidation. The corrected SIMS depth profiles showed almost the same results with those obtained without oxygen flooding.

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Implementation of Intelligent Measurement System of InterModulation Distorted RF Signals (지능형 누설왜곡전파신호 측정시스템 개발)

  • Kim, Dong-hyeon;Seo, Na-Hyeon;Park, Ki-Won;Rhee, Young-Chul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.27 no.2
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    • pp.144-149
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    • 2017
  • In this paper, we developed an intelligent and wideband RF-receiver module to represent a high dynamic range and good linearity characteristics up to 650MHz-2700MHz frequency band. and implemented an intelligent digital-RF- distorted signal measuring system for the RF distortion (intermodulation) signals. Broadband RF-receive module was designed to represent the optimized linear parameters of the receiver to meet the low noise and wide dynamic range. The designed intelligent digital-distortion(intermodulation) signal measument system measured by applying the 1MHz IF of third intermodulation signal of DUT and Measured data was recorded by program on the PC monitor with GUI interface. By variable up to 650MHz-2700MHz measured data showed up to -127.8dBc to -138dBc of the distortion (intermodulation) signal. And developed intelligent digital- distortion signal measurement system can be used to measure intermodulation distortion signal of wireless system widely.

Compensation for Nonlinear Distortion in OFDM Systems Using a Digital Predistorter Based on the Canonical PWL Model (Canonical PWL 모델 기반의 디지털 사전왜곡기를 이용한 OFDM 시스템의 비선형 왜곡 보상)

  • Seo, Man-Jung;Shim, Hee-Sung;Im, Sung-Bin;Jung, Jae-Ho;Lee, Kwang-Chun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.1C
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    • pp.65-76
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    • 2010
  • Orthogonal frequency division multiplexing (OFDM) is an attractive technique for achieving high-bit-rate wireless data transmission. However, multicarrier systems such as OFDM show great sensitivity to nonlinear distortion. The OFDM structure requires a summation of a large number of subcarriers for multicarrier modulation, and as a result of this summation large signal envelope fluctuations occur. These fluctuations make OFDM systems to be very sensitive to nonlinear distortion introduced by the high power amplifier (HPA) at the transmitter. In this paper, we propose a canonical piecewise-linear (CPWL) model based digital predistorter to compensate for nonlinear distortion introduced by the high peak-to-average power ratio (PAPR) and the HPA in OFDM systems. The performance of the new predistortion scheme for OFDM systems is evaluated in terms of total degradation (TD) and bit error rate (BER). The simulation results demonstrated that the proposed predistorter achieves significant performance improvement by effectively compensating for the nonlinear distortion introduced by the HPA.