• Title/Summary/Keyword: BLURRING

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Simplified Noise Reduction Method for Low Bitrate Video Compression (저전송률 비디오 압축을 위한 잡음 제거 전처리 방법)

  • 박운기;전병우
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.543-546
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    • 2001
  • 영상에 포함된 잡음은 시각적인 문제를 일으킬 뿐만 아니라, MPEG이나 H.263과 같은 영상 압축 시스템의 부호화 효율을 떨어뜨린다. 따라서 영상 압축 시스템의 입력으로 이러한 잡음이 포함된 신호가 들어갈 때, 잡음 제거 필터를 사용하여 잡음을 제거한 후 영상 압축을 하는 것이 시각적인 면에서나 압축 효율적인 면에서 매우 효과적이다. 본 논문에서는 이웃한 4개의 화소값을 참조하여 잡음의 존재 여부를 판단하고, 판단 결과를 이용하여 선택적으로 잡음을 제거하는 적응형 십자형 중간값(median) 필터를 제안한다. 제안된 방법을 이용하면 전체 영상에 걸쳐 필터를 이용하는 방법에 비해 계산량이 크게 줄고, 영상의 필터 처리후에 나타나는 뭉개짐(blurring) 현상을 줄일 수 있다. 또한 잡음이 처리된 영상을 시간방향으로 Look-up Table에 따른 IIR필터를 통과시킴으로써 시간상으로 존재하는 잡음을 제거하여 동영상의 주관적 화질을 향상시킬 수 있다.

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Face Extraction using Genetic Algorithm, Stochastic Variable and Geometrical Model (유전 알고리즘, 통계적 변수, 기하학적 모델에 의한 얼굴 영역 추출)

  • 이상진;홍준표이종실홍승홍
    • Proceedings of the IEEK Conference
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    • 1998.10a
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    • pp.891-894
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    • 1998
  • This paper introduces an automatic face region extraction method. This method consists of two part: face recognition and extraction of facial organs which are eye, eyebrow, nose and mouth. In first stage, we use genetic algorithms(GAs) to get face region in complex background. In second stage, we use Geometrical Face Model to textract eye, eyebrow, nose and mouth. In both stage, stochastic component is used to deal with the problems caused by had lighting condition. According to this value, blurring number is determined. Average Computation time is less than 1 sec, and using this method we can extract facial feature efficiently from several images which has different lightning condition.

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Quality Measures for Image Comparison Based on Correlation of Fuzzy Sets

  • Vlachos, Ioannis K.;Sergiadis, George D.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.563-566
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    • 2003
  • Quality measures play an important role in the field of image processing. Such measures are commonly used to assess the performance of different algorithms that are designed to perform a specific image processing task. In this paper we propose two novel measures for image quality assessment based on the notion of correlation between fuzzy sets. Two different definitions fur the correlation between fuzzy sets have been used. In order to calculate the proposed quality measures two approaches were evaluated, one with direct application of the measures to the image′s pixels and the other using the fuzzy set corresponding to the normalized histogram of the image. A comparative study of the proposed measures is performed by investigating their behavior using images with different types of distortions, such as impulsive "salt at pepper" noise, additive white Gaussian noise, multiplicative speckle noise, blurring, gamma distortion, and JPEG compression.

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Application of Blurred Under-subtraction Method on Angiography (BUS (blurred under-subtraction)를 응용(應用)한 혈관조영사진(血管造影寫眞)의 증강(增强))

  • Kim, Keon-Chung;Shim, Hyung-Jin;Park, Kyung-Jin;Kang, Tae-Kwon
    • Journal of radiological science and technology
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    • v.7 no.1
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    • pp.13-21
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    • 1984
  • Subtraction is an essential technic to improve imaging quality in various radiological procedures. The limitations of subtraction, however, are well known. Blurred under-subtraction (BUS) method has been suggested to overcome and compensate these limitations. Ten cases of angiography were subtracted by conventional subtraction and BUS technic. Results of this study revealed that BUS method is simple to perform and imaging quality obtained by BUS is excellent. Comparing to conventional subtraction, BUS method has advantages. For example, BUS need no mask film or no immobilization of patient during examination. Improvement of imaging Qualify is achieved by edge enhancement, homogeneous blurring of background density and increasing contrast. With emphasis of its simplicity in technic, we would report that BUS method is a useful adjunct imaging technic in various radiological procedures.

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A Method to Prevent Transfer Device of Image Stabilizer from Blunting by Artificial Vibration (가진입력에 의한 손떨림 보정용 이송장치의 둔화현상 방지대책)

  • Yeom, Dong-Hae
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.11
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    • pp.1076-1079
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    • 2009
  • This article deals with an optical image stabilizer which moves an image sensor in the direction of cancelling the vibration caused by hand shaking to prevent a photographed image from blurring. The ball-guide way method adopted as a transfer device of the image sensor is easy to be manufactured because of its simple structure and is suitable to minimize the friction between mechanisms, but has weakness of a chance of physical defect such as groove and rising. In case that the movement of the transfer device equipped with the image sensor is blunted because a ball is stuck in defects of guide way, the performance of the image stabilizer falls down drastically. We propose a method to prevent the transfer device from blunting by applying artificial vibration. At this time, the artificial vibration should be designed under consideration of dynamic characteristics and specifications of the system to be discriminated from the vibration caused by hand shaking.

Partial Solution for Concomitant Gradient Field in Ultra-low Magnetic Field: Correction of Distortion Artifact

  • Lee, Seong-Joo;Shim, Jeong Hyun
    • Journal of the Korean Magnetic Resonance Society
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    • v.24 no.3
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    • pp.66-69
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    • 2020
  • In ultra-low field magnetic resonance imaging (ULF-MRI), the strength of a static magnetic field can be comparable to that of gradient field. On that occasion, the gradient field is accompanied by concomitant gradient field, which yields distortion and blurring artifacts on MR images. Here, we focused on the distortion artifact and derived the equations capable of correcting it. Its usefulness was confirmed through the corrections in both simulated and experimental images. This solution will be effective for acquiring more accurate images in low and/or ultra-low magnetic fields.

Discrete Wavelet Transform and a Singular Value Decomposition Technique for Watermarking Based on an Adaptive Fuzzy Inference System

  • Lalani, Salima;Doye, D.D.
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.340-347
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    • 2017
  • A watermark is a signal added to the original signal in order to preserve the copyright of the owner of the digital content. The basic challenge for designing a watermarking system is a dilemma between transparency and robustness. If we want a higher rate of transparency, there has to be a compromise in terms of its robustness and vice versa. Also, until now, watermarking is generalized, resulting in the need for a specialized algorithm to work for a specialized image processing application domain. Our proposed technique takes into consideration the image characteristics for watermark insertion and it optimizes transparency and robustness. It achieved a 99.98% retrieval efficiency for an image blurring attack and counterfeits other attacks. Our proposed technique counterfeits almost all of the image processing attacks.

A Watermarking Technique Using Means and Differences of Neighboring Wavelet Transform Coefficient Pairs (이웃한 웨이브릿 변환 계수 쌍의 평균과 차이를 이용한 워터마킹 기법)

  • Kim, Hyeon-Sun;Bae, Seong-Ho;Park, Gil-Heum
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.6
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    • pp.1980-1987
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    • 2000
  • In this paper, an efficient watermarking technique in wavelet transform domain is proposed. Watermarking is embedding a digital signal called as 'watermark' into images to claim the ownership. In the proposed method, the image is 1-level wavelet transformed, and then the watermark with a binary stamp is embedded into the baseband. The watermark is embedded by inverting the polarities of he selected coefficient paris. In the inverting process, we can increase image quality by finding means and differences of the selected neighboring coefficient paris, and then adding values, which are inversely proportional to the differences, to th means. The experimental results show that the proposed method has good quality and is robust to various attacks such as the JPEG lossy comparison, noise addition, clipping, blurring, etc.

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A Study on Characteristic of Immateriality in Commercial Interior Space - Focused on Restaurant and Bar in Korea since 2000 - (상업공간 실내에서 표현되는 비물질적 특성에 관한 연구 - 2000년 이후의 국내 식음공간을 중심으로 -)

  • 정선영
    • Korean Institute of Interior Design Journal
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    • v.13 no.4
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    • pp.83-91
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    • 2004
  • This study focuses on defining the new meaning of immateriality in the present times expressed on space. The purposes of this study were to examine the characteristics of immateriality showed in commercial interior design in Korea, based on the definition of immateriality concept and the analysis of the way it is expressed. The result of this study is as follows; it categorized characteristic of material expression, space concept and media. Characteristic elements can be classified into 6: transparency, implication, off-gravitation, ambiguity of boundary, temporality, interactivity. Expression of immateriality in commercial interior space was obtained in many different ways, which are identified: new expression of material by reduction of materiality, leveling of transparency, expression of floating status, changeable image, illusion effect, blurring boundary. Immateriality is deeply associated with the elements such as surface, material, media, light, and movement. So it is being recognized as an important design concept in today's pluralist society and will play an important role within the design paradigms for the future.

The Development Of An Image Stabilization System Using An Extended Kalman Filter Used In A Mobile Robot (모바일 로봇을 위한 Ekf이미지 안정화 시스템 개발)

  • Choi, Yun-Won;Saitov, Dilshat;Kang, Tae-Hun;Lee, Suk-Gyu
    • The Journal of Korea Robotics Society
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    • v.5 no.4
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    • pp.367-376
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    • 2010
  • This Paper Proposes A Robust Image Stabilization System For A Mobile Robot Using An Extended Kalman Filter (Ekf). Though Image Information Is One Of The Most Efficient Data Used For Robot Navigation, It Is Subjected To Noise Which Is The Result Of Internal Vibration As Well As External Factors Such As Uneven Terrain, Stairs, Or Marshy Surfaces. The Camera Vibration Deteriorates The Image Resolution By Destroying The Image Sharpness, Which Seriously Prevents Mobile Robots From Recognizing Their Environment For Navigation. In This Paper, An Inclinometer Was Used To Measure The Vibration Angle Of The Camera System Mounted On The Robot To Obtain A Reliable Image By Compensating For The Angle Of The Camera Vibration. In Addition The Angle Prediction Obtained By Using The Ekf Enhances The Image Response Analysis For Real Time Performance. The Experimental Results Show The Effectiveness Of The Proposed System Used To Compensate For The Blurring Of The Images.