• Title/Summary/Keyword: 평균 필터

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Alpha-trimmed Mean Filter for Impulse Noise Removal (임펄스 잡음 제거를 위한 알파트림 평균 필터)

  • Kim, Kuk-Seung;Kim, Nam-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2010.05a
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    • pp.393-396
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    • 2010
  • In this paper the process of transmitting images signal restore to image corrupted by impulse noise proposed alpha-trimmed mean filter. the proposed filter first identifies the noise pixels using the morphological noise detector and then removes the detected impulse noise using the alpha-trimmed mean filter. these proposed filter can realize the accurate noise detection and it can remove impulse noise effectively while preserving edge region in the image very well. Through the simulation, we compared with the existing methods and capabilties.

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Extracting Ground Information from Airborne Laser Scanning Data based on Mean Filtering Method (평균필터기반 항공레이저측량 자료의 지면정보 추출기법)

  • Choi, Yun-Woong;Lee, Geun-Sang;Chae, Hyo-Sok;Cho, Gi-Sung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.8 no.4
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    • pp.61-70
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    • 2005
  • Airborne laser scanning system needs preprocessing which removes some objects such as buildings from the raw DSM data to construct DEM in building area because the laser pulse can't penetrate into the buildings. This study applied the mean filtering method which has various size filter to the DSM data constructed by airborne laser scanning system and decided the optimal filter size as $39{\times}39$ by analyzing the standard deviation change ratio. Also, this study could get the ${\pm}0.065m$ standard error by comparing the optimal filtering DEM and DSM raw data of airborne laser scanning. Therefore, it could know that the mean filtering method, which is presented in this study, is very effective to extract DEM in the urban area which has a low relief.

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Noise Removal in Magnetic Resonance Images based on Non-Local Means and Guided Image Filtering (비 지역적 평균과 유도 영상 필터링에 기반한 자기 공명 영상의 잡음 제거)

  • Mahmood, Muhammad Tariq;Choi, Young Kyu
    • KIISE Transactions on Computing Practices
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    • v.20 no.11
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    • pp.573-578
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    • 2014
  • In this letter, we propose a noise reduction method for use in magnetic resonance images that is based on non-local mean and guided image filters. Our method consists of two phases. In the first phase, the guidance image is obtained from a noisy image by using an adaptive non-local mean filter. The spread of the kernel is adaptively by controlled by implementing the concept of edgeness. In the second phase, the noisy images and the guidance images are provided to the guided image filter as input in order to produce a noise-free image. The improved performance of the proposed method is investigated by conducting experiments on standard datasets that contain magnetic resonance images. The results show that the proposed scheme is superior over the existing approaches.

An Iterative Weighted Mean Filter for Mixed Noise Reduction (복합 잡음 저감을 위한 반복 가중 평균 필터)

  • Lee, Jung-Moon
    • Journal of Digital Contents Society
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    • v.18 no.1
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    • pp.175-182
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    • 2017
  • Noises are usually generated by various external causes and low quality devices in image data acquisition and recording as well as by channel interference in image transmission. Since these noise signals result in the loss of information, subsequent image processing is subject to the corruption of the original image. In general, image processing is performed in the mixed noise environment where common types of noise, known to be Gaussian and impulse, are present. This study proposes an iterative weighted mean filter for reducing mixed type of noise. Impulse noise pixels are first turned off in the input image, then $3{\times}3$ sliding window regions are processed by replacing center pixel with the result of weighted mean mask operation. This filtering processes are iterated until all the impulse noise pixels are replaced. Applied to images corrupted by Gaussian noise with ${\sigma}=10$ and different levels of impulse noise, the proposed filtering method improved the PSNR by up to 12.98 dB, 1.97 dB, 1.97 dB respectively, compared to SAWF, AWMF, MMF when impulse noise desities are less than 60%.

A low noise PLL with frequency voltage converter and loop filter voltage detector (주파수 전압 변환기와 루프 필터 전압 변환기를 이용한 저잡음 위상고정루프)

  • Choi, Hyek-Hwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.14 no.1
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    • pp.37-42
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    • 2021
  • This paper presents a jitter and phase noise characteristic improved phase-locked loop (PLL) with loop filter voltage detector(LFVD) and frequency voltage converter(FVC). Loop filter output voltage variation is determined through a circuit made of resistor and capacitor. The output signal of a small RC time constant circuit is almost the same as to loop filter output voltage. The output signal of a large RC time constant circuit is the average value of loop filter output voltage and becomes a reference voltage to the added LFVD. The LFVD output controls the current magnitude of sub-charge pump. When the loop filter output voltage increases, LFVD decreases the loop filter output voltage. When the loop filter output voltage decreases, LFVD increases the loop filter output voltage. In addition, FVC also improves the phase noise characteristic by reducing the loop filter output voltage variation. The proposed PLL with LFVD and FVC is designed in a 0.18um CMOS process with 1.8V power voltage. Simulation results show 0.854ps jitter and 30㎲ locking time.

Relationship of Compressed Breast Thickness and Average Glandular Dose According to Focus/Filter (초점/필터에 따른 유방 압박 두께와 평균 유선 선량의 관계)

  • Lee, In-Ja
    • Journal of radiological science and technology
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    • v.32 no.3
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    • pp.261-270
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    • 2009
  • The study examined the relationship between the compressed breast thickness and Average Glandular Dose (AGD) among 1,969 outpatients who went through breast X-ray in a university hospital for 10 months from July 1st, 2007 to April 30th, 2008. Then it analyzed the result acquired from 3,900 cases of Cranio-Caudal (CC) view, especially, when the breasts were compressed (13-15daN). The following is the conclusion driven from the relationship analysis. 1. The subjects aged in 40s and 50s were 2,679 out of 3,900 cases and this figure was 68.69% in all. 2. In terms of distribution depending on focus/filter, 41.0% was Mo/Mo, 34.8% was Mo/Rh, and 24.2% was Rh/Rh. 3. In terms of compressed breast thickness depending on focus/filter, the average thickness was 26.91 mm at Mo/Mo, 38.84 mm at Mo/Rh, and 48.80 mm at Rh/Rh. The average thickness of the entire cases was shown to be 36.27 mm. 4. AGD depending on focus/filter was 1.27 mGy at Mo/Mo, 1.55 mGy at Mo/Rh, and 1.42 mGy at Rh/Rh. The average glandular dose of the entire cases was shown to be 1.43 mGy. 5. The relationship of AGD depending on compressed breast thickness at Mo/Mo was y=0.0318x + 0.470 while it was y=0.0206x + 0.709 at Mo/Rh and y=0.0248x + 0.335 at Mo/Rh. It was highly influenced by the compressed breast thickness, however, more variation was detected at Mo/Mo depending on breast thickness.

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A Visual Quality Enhancement of Medical Image Using Optimized High-Frequency Emphasis Filter (고주파 강조필터를 이용한 의료영상의 화질향상을 위한 최적화 방법)

  • Shin, Choong-Ho;Jung, Chai-Yeoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.7
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    • pp.1681-1685
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    • 2014
  • The visual quality of medical image is an important factor for diagnosis accuracy. Therefore, the methods to improve the quality of medical image have studied. Among them, frequency domain filter is very powerful method to impove the visual quality of image. In this paper, the X-ray medical image using optimized high-pass filter was improved edges. The result image was improved edge and contrast of flat area using optimized high frequency emphasis filter. At last, the result image is to minimize the noise using the minimum mean square error(MMSE) filter. As a result, the proposed method has enhanced contrast and edge of the image in the contrast of existing filters, with the noise canceling effect.

Production of air purification verification system using moss (이끼를 활용한 공기정화 검증 시스템 제작)

  • Ahn, Dohyun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.587-591
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    • 2019
  • Fine dust aerated in the atomsphere penetrates our lungs and blood lines through respiratory. Recent fine dust problems in Korea leads to development of various air purifiers. The researchers used this to study systems that could replace chemical filters. In order to compare the effect of the reduction of moss and conventional chemical filter(Hepa), a 1 cubic meter cube was prepared and the amount of the concentration of fine dust reduction was compared under controlled environment. Under the high concentration of fine dust, a test was done to figure out the reduction rate of the fine dust concentration by using air purification system with moss, hepa, and no filter. The air purification system(moss, hepa, and no filter) were operated 90 times in total, 30 times each. The test explains that the reduction of the fine dust amount and the rate of fine dust concentration. The results illustrate that the reduction of the amount fine dust was 138.93 after using air purification system with moss filter. In contrast, the usage of air purification system with hepa filter reduced the amount of fine dust to 76.57. And the air purification with no filter shows that the slight reduction of fine dust amount at 0.10. In the rate of fine dust concentration, moss filter was significantly higher than that of hepa, no filter (0.2379, 0.1298 and 0.0063 each). The results have confirmed that moss is effective in reducing fine dust concentration, and it is expected that with further improvement it can be used as a means to replace or supplement existing chemical filters in air purifier.

The Motion Artifact Reduction from the PPG based on EWMA (지수가중 이동평균 기반의 PPG 신호 동잡음 제거)

  • Lee, Jun-Yeon
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.183-190
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    • 2013
  • The Photoplethysmogram is a similar periodic signal that synchrinized to a heartbeat. In this paper, we propose a exponential weight moving average filter that use similarity of Photoplethysmogram. This filtering method has the average value of each samples through separating the cycle of PPG signal. If there are some motion artifacts in continuous PPG signal, disjoin the signal based on cycle. And then, we made these signals to have same cycle by coordinating the number of sample. After arrange these cycles in 2 dimension, we put the average value of each samples from starting till now. So, we can eliminate the motion artifacts without damaged PPG signal.

Analysis of the Convergence Properties of LMS and VS-LMS Algorithms for IIR Filters (IIR 필터의 LMS, VS-LMS 알고리듬에 대한 수렴 특성 해석)

  • 황호선;조주필;백흥기
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.7
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    • pp.23-32
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    • 1999
  • This paper presents a stochastic convergence analysis of LMS algorithm and VS-LMS algorithm for IIR filters using equation error formulation. Under the assumption that the signal is white Gaussian, theoretical equations that characterize the mean and mean-squared behaviors of the algorithms are derived. Computer simulation results show fairly good agreements between the theoretical and the empirical behaviors of the algorithms.

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