• 제목/요약/키워드: Reduced image

검색결과 1,593건 처리시간 0.028초

감성 화질 향상을 위한 이미지 적응형 LCD 백라이트 부스팅 및 디밍 (Image Adaptive LCD Backlight Boosting and Dimming For Perceptual Image Quality Enhancement)

  • 이철희;유재희
    • 한국멀티미디어학회논문지
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    • 제22권8호
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    • pp.860-873
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    • 2019
  • LCD backlight boosting and the integration of boosting and dimming are proposed based on image analysis to maximize perceptual image qualities and to reduce display system power. Based on the histogram of the image data, methods for selecting an image suitable for boosting and for adjusting the optimum backlight brightness are proposed. A comprehensive combined optimization method of LCD backlight boosting, dimming and bypass based on image characteristics is also described. Perceptual image quality enhancement and power consumption are evaluated based on well known image databases. Average subjective image quality is improved by 24.8%, RMS contrast is improved more than 20%, and average power consumption is reduced by 15.94% compared to conventional uniform boosting.

Fast Detection of Forgery Image using Discrete Cosine Transform Four Step Search Algorithm

  • Shin, Yong-Dal;Cho, Yong-Suk
    • 한국멀티미디어학회논문지
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    • 제22권5호
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    • pp.527-534
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    • 2019
  • Recently, Photo editing softwares such as digital cameras, Paintshop Pro, and Photoshop digital can create counterfeit images easily. Various techniques for detection of tamper images or forgery images have been proposed in the literature. A form of digital forgery is copy-move image forgery. Copy-move is one of the forgeries and is used wherever you need to cover a part of the image to add or remove information. Copy-move image forgery refers to copying a specific area of an image itself and pasting it into another area of the same image. The purpose of copy-move image forgery detection is to detect the same or very similar region image within the original image. In this paper, we proposed fast detection of forgery image using four step search based on discrete cosine transform and a four step search algorithm using discrete cosine transform (FSSDCT). The computational complexity of our algorithm reduced 34.23 % than conventional DCT three step search algorithm (DCTTSS).

Region 재구성에 의한 영상 Data압축 (Image Data Compression Based On Region Analysis)

  • 김해수;이근영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1987년도 전기.전자공학 학술대회 논문집(II)
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    • pp.1390-1393
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    • 1987
  • This paper describes the image data compression based on the image decomposition. We reduced the processing time using the segmentation based on the distribution of grey level, and obtained high compression rate using the Huffman run-length coding for the segmented image, and the 2-Dimensional least square curve fitting and the shift coder for each region.

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조경요소의 영상을 이용한 도로교통소음 인지도의 심리적인 저감효과에 대한 연구 (Psychological Reduction Effect of Road Traffic Noise Perception by the Visual Information of Landscape components)

  • 국찬;장길수;신용규
    • KIEAE Journal
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    • 제3권2호
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    • pp.33-36
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    • 2003
  • The influence of the visual information on the sound perception would be considerable. Furthermore, if the sound perception ranges in noisiness or annoyance beyond the loudness, it will depend much more on the shape of the visual information. This paper aims to estimate the influence of the several kinds of visual information on the perception of road traffic noise by means of the psycho-acoustic test method. The findings of present study on the influence of visual information on subjective noise perception are summarized as follows: Presenting visual images of mild and comfortable scenery reduced the noise perception reaction at the less noisy environments not exceeding 65 dB(A). At highly noisy environments exceeding 65 dB(A), however, the noise perception can be reduced by strong image of waterfall. Even eliminating the road traffic image may be helpful. Visual image of waterfall reduced the noise perception at all levels. It is inferred that the road traffic noise perception can be effectively ameliorated by presenting strong and real landscape images at any noisy environment.

Application of Digital Image Correlations (DIC) Technique on Geotechnical Reduced-Scale Model Tests

  • Tong, Bao;Yoo, Chungsik
    • 한국지반신소재학회논문집
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    • 제21권1호
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    • pp.33-48
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    • 2022
  • This paper presents illustrative examples of the application of advanced digital image correlation (DIC) technology in the geotechnical laboratory tests, such as shallow footing test, trapdoor test, retaining wall test, and wide width tensile test on geogrid. The theoretical background of the DIC technique is first introduced together with fundamental equations. Relevant reduced-scale model tests were then performed using standard sand while applying the DIC technique to capture the movement of target materials during tests. A number of different approaches were tried to obtain optimized images that allow efficient tracking of material speckles based on the DIC technique. In order to increase the trackability of soil particles, a mix of dyed and regular sand was used during the model tests while specially devised painted speckles were applied to the geogrid. A series of images taken during tests were automatically processed and analyzed using software named VIC-2D that automatically generates displacements and strains. The soil deformation field and associated failure patterns obtained from the DIC technique for each test were found to compare fairly well with the theoretical ones. Also shown is that the DIC technique can also general strains appropriate to the wide width tensile test on geogrid, It is demonstrated in this study that the advanced DIC technique can be effectively used in monitoring the deformation and strain field during a reduced-scale geotechnical model laboratory test.

모바일 LCD 디스플레이의 저전력 Backlight 제어 및 영상 크기 조절을 이용한 가속화 기법 (Low-Power Backlight Control and Its Acceleration Based on Image Resizing for Mobile LCD Displays)

  • 이규호;배진곤;김재우;김종옥
    • 전자공학회논문지
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    • 제52권7호
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    • pp.100-106
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    • 2015
  • 본 논문은 모바일 LCD 디스플레이를 위한 저전력 화질 개선의 가속화 기법을 제안한다. 제안 기법에서는 고해상도 영상을 분석 및 보정 시에 영상의 공간 해상도를 변환하고, 변환된 저해상도에서 영상의 특성을 분석하고 개선함으로써 필요한 연산량을 감소시킨다. 변환된 저해상도에서 영상에 적응적인 최적의 dimming rate을 찾아 적용함으로써 소비전력을 절감한다. 실제 안드로이드 디바이스 상에서 동작하는 어플리케이션 형태로 절전 및 화질 개선 가속화 알고리즘을 구현하였다. 디바이스상의 화질 평가 및 알고리즘 수행속도 측정을 통해 제안하는 기법이 영상의 화질저하를 최소화하는 동시에 연산량을 95% 이상 감소시킴을 확인하였다.

실시간 영상 처리를 위한 향상된 영역 경계 검출 (An Improved Area Edge Detection for Real-time Image Processing)

  • 김승희;남시병;임해진
    • 한국컴퓨터정보학회논문지
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    • 제14권1호
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    • pp.99-106
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    • 2009
  • 경계 검출은 영상 인식의 성능을 좌우하는 중요한 단계로서 지금까지 많은 경계 검출 방법들이 연구되어 왔음에도 불구하고 여전히 어려운 문제로 남아있으며, 영상에서 객체를 인식하거나 특정 영역을 추적하는 등의 유일한 방법은 아니지만 영상 인식 응용 분야에서 중요한 요소들 중의 하나이다. 본 논문에서는 미분 연산자를 이용한 경계검출 방법과는 달리 이진화 영상에서 2개의 이웃된 픽셀 정보를 참조하여 미리 정의된 4개의 경계 픽셀 패턴과 비교하여 경계 픽셀을 찾고, 다음 경계 검출 탐색 픽셀에 대한 방향을 결정하여 영역의 경계를 검출하며, 다음 영역의 경계 검출을 위하여 방문하지 않은 픽셀들을 탐색하면서 경계 검출 단계를 반복 수행하여 이진화 영상의 경계를 검출하는 방법을 제안하였다. 영상 인식에 있어 미분 연산자를 이용하여 경계 검출을 할 경우 경계 검출 다음 단계인 세선화 과정을 생략할 수 있었으며, 기존의 영역 경계 추적 방법에 비해 경계 검출 알고리즘 수행 시간을 단축하여 실시간으로 영상을 인식하는 시스템에 적용하여 전체적인 영상 인식 시간을 단축할 수 있었다.

Position Detection of a Scattering 3D Object by Use of the Axially Distributed Image Sensing Technique

  • Cho, Myungjin;Shin, Donghak;Lee, Joon-Jae
    • Journal of the Optical Society of Korea
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    • 제18권4호
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    • pp.414-418
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    • 2014
  • In this paper, we present a method to detect the position of a 3D object in scattering media by using the axially distributed sensing (ADS) method. Due to the scattering noise of the elemental images recorded by the ADS method, we apply a statistical image processing algorithm where the scattering elemental images are converted into scatter-reduced ones. With the scatter-reduced elemental images, we reconstruct the 3D images using the digital reconstruction algorithm based on ray back-projection. The reconstructed images are used for the position detection of a 3D object in the scattering medium. We perform the preliminary experiments and present experimental results.

CUDA를 이용한 초해상도 기법의 영상처리 속도개선 방법 (An Image Processing Speed Enhancement in a Multi-Frame Super Resolution Algorithm by a CUDA Method)

  • 김미정
    • 한국군사과학기술학회지
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    • 제14권4호
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    • pp.663-668
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    • 2011
  • Although multi-frame super resolution algorithm has many merits but it demands too much calculation time. Researches have shown that image processing time can be reduced using a CUDA(Compute unified device architecture) which is one of GPGPU(General purpose computing on graphics processing unit) models. In this paper, we show that the processing time of multi-frame super resolution algorithm can be reduced by employing the CUDA. It was applied not to the whole parts but to the largest time consuming parts of the program. The simulation result shows that using a CUDA can reduce an operation time dramatically. Therefore it can be possible that multi-frame super resolution algorithm is implemented in real time by using libraries of image processing algorithms which are made by a CUDA.

화상 벡터 양자화의 코드북 구성을 위한 고속 알고리즘 (Fast Algorithms to Generate the Codebook for Vector Quantization in Image Coding)

  • 이주희;정해묵;이충웅
    • 대한전자공학회논문지
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    • 제27권1호
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    • pp.105-111
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    • 1990
  • In this paper, fast algorithms to generate the codebook of vector quantization in image coding, are proposed. And an efficient algorithm to guess a initial codebook, namely, binary splitting method, is proposed. We generated the initial codebook by binary splitting method and then reduced the searching time using Iterative Optimization algorithm as an alternate to the generalized Lloyd algorithm and several information from binary splitting method. And the searching time and performance can be traded off by varying the searching range. With this proposed algorithm, the computation time can be reduced by a factor of 60 Without any degradation of image quality.

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