• 제목/요약/키워드: Digital Noise Reduction

검색결과 213건 처리시간 0.026초

디지털카메라의 노이즈감소기능이 이미지 해상도에 미치는 영향 (Effect of Noise Reduction Function in Digital Camera on the Resolution of Digital Image)

  • 하동환;박형주
    • 한국콘텐츠학회논문지
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    • 제9권5호
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    • pp.91-98
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    • 2009
  • 최근 디지털카메라의 기술 개발은 빛이 부족한 상황에서도 사진용 플래시와 같은 장비를 사용하지 않고서 사진을 촬영할 수 있는 다양한 고감도 기능을 탑재하는 경향이다. 또한 다양한 고감도에 적용시킬 수 있는 디지털카메라의 노이즈감소기능도 동시에 개발되고 있다. 그러나 노이즈가 발생하기 쉬운 고감도 상황에서 디지털카메라의 노이즈감소기능은 노이즈를 감소시키는 동시에 이미지의 해상도도 감소시키는 경향을 보인다. 따라서 본 연구에서는 디지털카메라의 노이즈감소기능이 이미지 해상도에 미치는 영향을 실험을 통해 양적으로 수치화 하고자 한다. 실험은 해상도와 노이즈 타깃을 디지털카메라의 감도별로 촬영하고, 측정값을 분석한 결과 노이즈감소기능이 적용될 때 최대 15%까지 해상도가 감소하는 것을 확인할 수 있었다. 이와 같은 연구는 디지털카메라의 사용자에게는 노이즈감소기능의 정확한 활용을 가능하게 하며 제조사에게는 노이즈감소기능을 검증해 볼 수 있게 할 것이다.

Effect of digital noise reduction on the accuracy of endodontic file length determination

  • Mehdizadeh, Mojdeh;Khademi, Abbas Ali;Shokraneh, Ali;Farhadi, Nastaran
    • Imaging Science in Dentistry
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    • 제43권3호
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    • pp.185-190
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    • 2013
  • Purpose: The aim of the present study was to evaluate the measurement accuracy of endodontic file length on periapical digital radiography after application of noise reduction digital enhancement. Materials and Methods: Thirty-five human single-rooted permanent teeth with canals measuring 20-24 mm in length were selected. ISO #08 endodontic files were placed in the root canals of the teeth. The file lengths were measured with a digital caliper as the standard value. Standard periapical digital images were obtained using the Digora digital radiographic system and a dental X-ray unit. In order to produce the enhanced images, the noise reduction option was applied. Two blinded radiologists measured the file lengths on the original and enhanced images. The measurements were compared by repeated measures ANOVA and the Bonferroni test (${\alpha}=0.05$). Results: Both the original and enhanced digital images provided significantly longer measurements compared with the standard value (P<0.05). There were no significant differences between the measurement accuracy of the original and enhanced images (P>0.05). Conclusion: Noise reduction digital enhancement did not influence the measurement accuracy of the length of the thin endodontic files on the digital periapical radiographs despite the fact that noise reduction could result in the elimination of fine details of the images.

Pseudo 480-Hz Driving Method for Digital Mode Grayscale Displays

  • Ryeom, Jeongduk
    • Journal of Electrical Engineering and Technology
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    • 제8권6호
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    • pp.1462-1467
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    • 2013
  • A pseudo 480-Hz drive method has been proposed to reduce the dynamic false contour noise that occurs on flat panel displays with displaying grayscale image in the digital mode, such as plasma display panels. The proposed method makes the image movements nearly continuous by rearranging the 8-bit image data displayed for 1 TV field into 8 subfields. The position of the image data rearranged in subfields has been optimized on the basis of the speed of the moving image by computer simulations for the dynamic false contour noise. It is verified that a significant reduction in the dynamic false contour noise is achieved with the proposed method as compared to the conventional noise reduction technologies. Moreover, to reduce the noise in digital mode displays, the proposed technology requires only 8 subfields. Therefore, there is no reduction in the brightness of the image.

히스 노이즈제거를 통한 아날로그의 디지털 복원에 대한 연구 - X-NOISE를 활용한 히스 노이즈리덕션을 중심으로 - (A Research on the Digital Restoration of the Analog by Removing Hiss Noise (Using X-NOISE Based on Hiss-Noise Reduction))

  • 변정민;두일철
    • 디지털산업정보학회논문지
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    • 제10권4호
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    • pp.161-170
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    • 2014
  • Analog cassette tapes are easily changed due to environmental factors. To digitize is the best way to preserve a sound source. The way to digitize is to deal with the original sound to be enhanced to a variety of sources by playing through the audio card after recording. In this process to occur, it's the most important to remove various noise and equalizing sound in a method for preserving. It's studied about how to remove noise by using one of softwares, Cubase 5. 5, to remove hiss noise, which happens changing analog tape into digitalization. A amount of hiss noise is reduced to use X-Noise software of Wave which uses in Cubase 5.0, one of PLUG-IN. The noise is removed changing value of threshold and reduction every 10 times in no change of origin sound. To keep regular condition, the experiment to remove the hiss noise is conducted based on sound meondle, which is one of sound Nonmaegi. The noise is removed easily when the value of threshold is getting high in spite of giving a little value of reduction. However, as it gives a amount of reduction high, the damage rate of the sound source gets high.

잡음영향의 저감을 위한 두 디지털 필터들의 사용에 의한 DFT 기반의 계통주파수 추정 (DFT-based Power System Frequency Estimation using Two Digital Filters for Noise Effect Reduction)

  • 황진권
    • 전기학회논문지
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    • 제62권7호
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    • pp.891-897
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    • 2013
  • The power system frequency plays an important role in monitoring and controlling the power system. The frequency can be measured through discrete Fourier transform (DFT) coefficients of its positive fundamental frequency. The accuracy of the frequency estimate is severely affected by noise in the power system signal and the leakage effect of the negative fundamental frequency in DFT. This paper proposes a DFT-based frequency estimation algorithm to cope with the noise as well as the leakage effect. In this algorithm, two suitable digital filters are introduced to reduce efficiently frequency estimate error due to the noise. These filters are designed to use a digital bandpass filter and a second-degree integrator. The effectiveness of the proposed algorithm in reduction of frequency estimate error is verified through simulations on noise, harmonics and frequency deviation.

히스토그램 변환기법을 이용한 디지털 홀로그램의 잡음제거 알고리듬 (Noise Reduction Algorithm of Digital Hologram Using Histogram Changing Method)

  • 최현준;서영호;김동욱
    • 한국정보통신학회논문지
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    • 제12권4호
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    • pp.603-610
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    • 2008
  • 본 논문에서는 디지털 홀로그램의 획득 및 전송과정에서 발생하는 잡음을 효율적으로 제거하는 알고리듬을 제안한다. 제안한 알고리듬은 디지털 홀로그램을 DCT(Discrete Cosine Transform)하여 주파수영역으로 변환한 후 객체영역과 배경영역으로 분리한다. 이 후, 객체영역은 히스토그램 변환기법을 적용하고 배경영역은 '0'으로 치환하였다. 제안한 알고리듬을 적용한 결과 PSNR이 6dB이상 향상되었다.

건설현장 적용을 위한 디지털맵 노이즈 제거 알고리즘 성능평가 (Performance Evaluation of Denoising Algorithms for the 3D Construction Digital Map)

  • 박수열;김석
    • 한국BIM학회 논문집
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    • 제10권4호
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    • pp.32-39
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    • 2020
  • In recent years, the construction industry is getting bigger and more complex, so it is becoming difficult to acquire point cloud data for construction equipments and workers. Point cloud data is measured using a drone and MMS(Mobile Mapping System), and the collected point cloud data is used to create a 3D digital map. In particular, the construction site is located at outdoors and there are many irregular terrains, making it difficult to collect point cloud data. For these reasons, adopting a noise reduction algorithm suitable for the characteristics of the construction industry can affect the improvement of the analysis accuracy of digital maps. This is related to various environments and variables of the construction site. Therefore, this study reviewed and analyzed the existing research and techniques on the noise reduction algorithm. And based on the results of literature review, performance evaluation of major noise reduction algorithms was conducted for digital maps of construction sites. As a result of the performance evaluation in this study, the voxel grid algorithm showed relatively less execution time than the statistical outlier removal algorithm. In addition, analysis results in slope, space, and earth walls of the construction site digital map showed that the voxel grid algorithm was relatively superior to the statistical outlier removal algorithm and that the noise removal performance of voxel grid algorithm was superior and the object preservation ability was also superior. In the future, based on the results reviewed through the performance evaluation of the noise reduction algorithm of this study, we will develop a noise reduction algorithm for 3D point cloud data that reflects the characteristics of the construction site.

디지털 보청기를 위한 다중 마이크로폰을 이용한 잡음제거 성능 연구 (A Study on the Performance of Noise Reduction using Multi-Microphones for Digital Hearing Aids)

  • 강현덕;송영록;이상민
    • 전기전자학회논문지
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    • 제14권1호
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    • pp.47-54
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    • 2010
  • 본 연구에서는 잡음환경에서 디지털 보청기의 잡음제거를 위해 2,3,4,5개의 마이크로폰을 이용해 잡음제거를 하고 비교 분석 하였다. 실제 디지털 보청기에서 사용할 수 있게 하기 위해 귀걸이형 (behind-the-ear type, BTE) 보청기의 형태와 유사하게 마이크로폰을 배열한 실험 세트를 구성하여 각각의 조건에 따라 신호녹음을 하였고, 녹음된 각각의 신호들을 멀티 마이크로폰을 이용한 잡음제거 알고리즘으로 잡음 제거하였다. 평가 방법에 따라 잡음제거 전과 후의 SNR (Signal to Noise Ratio)과 PESQ (Perceptual Evaluation of Speech ) 측정 분석 결과 마이크로폰 3개와 4개를 사용하였을 때 가장 높은 성능 향상을 보였으며 대부분의 경우에서 마이크로폰의 개수가 늘어남에 따라 성능이 향상된 것을 확인하였다.

실험적 방법을 이용한 디지털 카메라 경통 줌 모듈의 소음원 규명 및 저소음화 (Experimental Analysis on Barrel Zoom Module of Digital Camera for Noise Source Identification and Noise Reduction)

  • 곽형택;정재은;정운창;이유엽;오재응
    • 한국소음진동공학회논문집
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    • 제21권11호
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    • pp.1074-1083
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    • 2011
  • Noise of digital camera has been noticeable to its users. Particularly, noise of a barrel assembly module in zoom in/zoom out operation is recorded while taking a video. Reduction of barrel noise becomes crucial but there are not many studies on noise of digital camera due to its short history of use. In this study, experiment-based analyses are implemented to identify sources of noise and vibration because of complexity and compactness of the barrel system. Output noise is acquired in various operation conditions using synchronization for spectral analysis. Noise sources of a barrel assembly in zoom operating are first identified by the comparison with gear frequency analysis and then correlation analysis between noise and vibration is applied to confirm the generation path of noise. Analysis on noise transfer characteristic of zoom module is also carried out in order to identify the most contributing components. One of possible countermeasures of noise in zoom operating is investigated by an experimental approach.