• 제목/요약/키워드: pixel-based processing

검색결과 436건 처리시간 0.033초

Image Dehazing Enhancement Algorithm Based on Mean Guided Filtering

  • Weimin Zhou
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.417-426
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    • 2023
  • To improve the effect of image restoration and solve the image detail loss, an image dehazing enhancement algorithm based on mean guided filtering is proposed. The superpixel calculation method is used to pre-segment the original foggy image to obtain different sub-regions. The Ncut algorithm is used to segment the original image, and it outputs the segmented image until there is no more region merging in the image. By means of the mean-guided filtering method, the minimum value is selected as the value of the current pixel point in the local small block of the dark image, and the dark primary color image is obtained, and its transmittance is calculated to obtain the image edge detection result. According to the prior law of dark channel, a classic image dehazing enhancement model is established, and the model is combined with a median filter with low computational complexity to denoise the image in real time and maintain the jump of the mutation area to achieve image dehazing enhancement. The experimental results show that the image dehazing and enhancement effect of the proposed algorithm has obvious advantages, can retain a large amount of image detail information, and the values of information entropy, peak signal-to-noise ratio, and structural similarity are high. The research innovatively combines a variety of methods to achieve image dehazing and improve the quality effect. Through segmentation, filtering, denoising and other operations, the image quality is effectively improved, which provides an important reference for the improvement of image processing technology.

Deep Learning-Based Low-Light Imaging Considering Image Signal Processing

  • Minsu, Kwon
    • 한국컴퓨터정보학회논문지
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    • 제28권2호
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    • pp.19-25
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    • 2023
  • 이 논문에서는 image signal processing 을 고려하여 저조도에서 촬영된 저품질의 raw 이미지를 딥러닝에 기반하여 개선하는 방법을 제안한다. 스마트폰 카메라의 경우 DSLR 카메라에 비해 렌즈나 센서의 확장에 제약이 있어 저조도 상황에서 이미지에 노이즈가 증가되고 품질이 저하되는 문제점을 보인다. 기존 딥러닝 기반 저조도 이미지 처리 방식은 image signal processing의 주요 요소인 렌즈 쉐이딩 효과와 화이트 밸런스를 고려하지 못하여 부자연스러운 이미지를 생성하기도 한다. 본 논문에서는 렌즈 쉐이딩 효과와 화이트 밸런스를 딥러닝 모델에 적용하기 위해 중심거리와 채널 평균을 활용한다. 스마트폰으로 촬영된 저조도 이미지를 통한 실험에서 제안하는 방법이 기존 방법에 비해 더 높은 peak signal to noise ratio 와 structural similarity index measure를 달성함과 동시에 높은 품질의 저조도 이미지를 생성함을 확인한다.

에지정보를 이용한 도로영상의 스테레오 정합 (Intensity Gradients-based Stereo Matching of Road Images)

  • 이기용;이준웅
    • 한국자동차공학회논문집
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    • 제11권1호
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    • pp.201-210
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    • 2003
  • In this paper, we propose a new binocular stereo correspondence method by maximizing a fitness formulated by integrating two constraints of edge similarity and disparity smoothness simultaneously. The proposed stereopsis focusing to measure distances to leading vehicles on roads uses intensity gradients as matching attribute. In contrast to the previous work of area-based stereo matching, in which matching unit is a pixel, the matching unit of the proposed method becomes an area itself which is obtained by selecting a series of pixels enclosed by two pixels on the left and right boundaries of an object. This approach allows us to cope with real-time processing and to avoid window size selection problems arising from conventional area-based stereo.

향상된 세일리언시 맵과 슈퍼픽셀 기반의 효과적인 영상 분할 (Efficient Image Segmentation Algorithm Based on Improved Saliency Map and Superpixel)

  • 남재현;김병규
    • 한국멀티미디어학회논문지
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    • 제19권7호
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    • pp.1116-1126
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    • 2016
  • Image segmentation is widely used in the pre-processing stage of image analysis and, therefore, the accuracy of image segmentation is important for performance of an image-based analysis system. An efficient image segmentation method is proposed, including a filtering process for super-pixels, improved saliency map information, and a merge process. The proposed algorithm removes areas that are not equal or of small size based on comparison of the area of smoothed superpixels in order to maintain generation of a similar size super pixel area. In addition, application of a bilateral filter to an existing saliency map that represents human visual attention allows improvement of separation between objects and background. Finally, a segmented result is obtained based on the suggested merging process without any prior knowledge or information. Performance of the proposed algorithm is verified experimentally.

영상처리를 이용한 웹기반 명판 가공시스템 개발 (A Development of Web-based Nameplate Production System by using Image Processing)

  • 김기범
    • 산업공학
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    • 제15권1호
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    • pp.20-25
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    • 2002
  • In this research, a nameplate engraving system for images and texts downloaded through Internet on nameplate is developed. The system consists of two subsystems: thinning algorithm and NC code generation module. In the thinning algorithm, the concept of connectivity is used and center lines of images and texts, which will be used as NC tool paths, can be obtained successfully. Because the center lines are composed of a lot of pixels, NC code would be too long. In the NC code generation module, many useless pixel data are removed and linear interpolation algorithm is applied to only the remaining pixels. By performing actual experiments, the thinning algorithm and the NC code generation module are verified.

자유곡면의 CAD 모델링을 위한 비접촉식 삼차원 형상측정 (Noncontact Type Three Dimensional Profile Measurement for CAD Modeling of Sculptured Surface)

  • Park, H.G.;Park, Y.B.;Kim, S.W.
    • 한국정밀공학회지
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    • 제12권1호
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    • pp.5-14
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    • 1995
  • An optical measurement method of three dimensional surface profiles which is named the slit beam projection is suggested and practically implemented. This method is intended especially for noncontact and fast digitization of sculptured surfaces for CAD modeling and die manufacturing. Its basic principles are based on geometric optics. Deatiled optical principles and an sub-pixel image processing technique to enhance the measuring resolutions are described in this study. The measuring performances of the slit beam projection are presented and discussed to demonstrate that an actual measuring accuracy of below .+-. 0.2mm can be achived over the whole measuring range(500mm*300mm*200mm)

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화상회의를 위한 자동추적 카메라 제어시스템 개발 (Development of Auto Tracking Vision Control System for Video Conference)

  • 한병조;황찬길;황영호;양해원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 제39회 하계학술대회
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    • pp.1712-1713
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    • 2008
  • In this paper, we develop the vision control systems of auto tracking based on image processing techniques for video conference. The developed auto tracking vision control system consists of control hardware including vision, two dc motors and dc motor drivers. Image processing techniques are used to pixel of two images. Motion detection algorithm is applied to eliminate the noise. Experiment results are presented to illustrate the effectiveness and the applicability of the approaches proposed.

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꼭지점 및 픽셀 쉐이더를 이용한 3D 텍스쳐 기반의 빠른 볼륨 렌더링 기법 (3D Texture based Fast Volume Rendering using Vertex and Pixel Shaders)

  • 이중연
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2005년도 춘계학술발표대회
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    • pp.1645-1648
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    • 2005
  • PC 그래픽스 하드웨어의 급격한 발전에 따라 슈퍼컴퓨터 또는 여러 대의 컴퓨터를 이용한 병렬/분산 처리로나 가능하였던 실시간 볼륨 렌더링을 한대의 일반 PC에서 수행하려는 시도가 계속되고 있다. PC 그래픽스 하드웨어의 꼭지점 및 픽셀 쉐이더는 수치 계산에 최적화된 벡터 연산으로 빠른 볼륨 렌더링을 가능하게 하였을 뿐만 아니라 기존의 고정된 그래픽스 파이프라인에서 벗어나 사용자가 렌더링 과정에 개입하여 프로그래밍을 할 수 있도록 하였다. 본 논문에서는 이러한 그래픽스 하드웨어의 프로그래밍 기능 중 텍스쳐 좌표의 조작을 이용하여 다양한 종류의 볼륨 데이터를 빠르게 렌더링하고 픽셀 쉐이더의 여러 기능들을 이용하여 퐁 쉐이딩 연산, 이른 깊이 테스트, 팔진트리 텍스쳐등을 구현하여 고품질 영상을 실시간으로 얻고자 하였다.

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바이프리즘 스테레오 시각 센서를 이용한 GMA 용접 비드의 3차원 형상 측정 (Measurement of GMAW Bead Geometry Using Biprism Stereo Vision Sensor)

  • 이지혜;이두현;유중돈
    • Journal of Welding and Joining
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    • 제19권2호
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    • pp.200-207
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    • 2001
  • Three-diemnsional bead profile was measured using the biprism stereo vision sensor in GMAW, which consists of an optical filter, biprism and CCD camera. Since single CCD camera is used, this system has various advantages over the conventional stereo vision system using two cameras such as finding the corresponding points along the horizontal scanline. In this wort, the biprism stereo vision sensor was designed for the GMAW, and the linear calibration method was proposed to determine the prism and camera parameters. Image processing techniques were employed to find the corresponding point along the pool boundary. The ism-intensity contour corresponding to the pool boundary was found in the pixel order and the filter-based matching algorithm was used to refine the corresponding points in the subpixel order. Predicted bead dimensions were in broad agreements with the measured results under the conditions of spray mode and humping bead.

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Image Authentication and Restoration Using Digital Watermarking by Quantization of Integer Wavelet Transform Coefficients

  • Ahsan, Tanveer;Chong, Ui-Pil
    • 융합신호처리학회논문지
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    • 제13권4호
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    • pp.187-193
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    • 2012
  • An image authentication scheme for gray scale image through embedding a digital watermark by quantization of Integer Wavelet Transform (IWT) coefficients of the image is proposed in this paper. Proposed method is designed to detect modification of an image and to identify tampered location of the image. To embed the watermark mid-frequency band of a second level IWT was used. An approximation of the original image based on LL band was stored in LSB bits of the pixel data as a recovery mark for restoration of the image. Watermarked image has achieved a good PSNR of 40 dB compared to original cover image. Restored image quality was also very good with a PSNR of more than 35 dB compared to unmodified watermarked image even when 25% of the received image is cropped. Thus, the proposed method ensures a proper balance between the fidelity of the watermarked image and the quality of the restored image.