• Title/Summary/Keyword: halo artifact

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Single image dehazing using segmenting dark channel prior (segmenting dark channel prior을 이용한 단일 영상에서의 안개 제거)

  • Tran, Nhat Huy;Bui, Minh Trung;Kim, Wonha
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2014.11a
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    • pp.127-129
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    • 2014
  • In image dehazing, the existing transmission estimators bring out the halo artifact at boundaries unless they adopt a refinement process with the high computational complexity. We analyze how the existing transmission estimation methods suffer from the halo artifact at the boundaries and observed that the elaborate, high computational refinement processes to remove the halo effect are excessive for dehazing. On the basis of the analysis and observation, we embed a simple segmentation logic in an existing transmission estimator, which is sufficiently accurate for dehazing. The experiment verifies that the proposed method significantly reduces the halo artifact without requiring any refinement process.

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Single image dehazing by segmenting dark channel prior

  • Bui, Minh Trung;Kim, Wonha
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2016.11a
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    • pp.172-175
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    • 2016
  • In image dehazing, the existing transmission estimators bring out the halo artifact at boundaries unless they adopt a refinement process with the high computational complexity. We analyze how the existing transmission estimation methods suffer from the halo artifact at the boundaries and observed that the elaborate, high computational refinement processes to remove the halo effect are excessive for dehazing. On the basis of the analysis and observation, we embed a simple segmentation logic in an existing transmission estimator, which is sufficiently accurate for dehazing. The experiment verifies that the proposed method significantly reduces the halo artifact without requiring any refinement process.

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Color Image Compensation Method using Advanced Image Formation Model and Adaptive Filter (개선된 영상생성 모델과 적응적 필터를 이용한 칼라 영상 보정방법)

  • Choi, Ho-Hyung;Yun, Byoung-Ju
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.10-18
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    • 2009
  • Color rendition method is necessary for improving the low contrast images which are achieved by PDA, mobile phone camera or PC camera. There are some methods for color rendition. However, after correcting the color, image quality degradations, such as graying-out, halo-artifact and color noise, may occur. In order to overcome these problems, this paper proposes a retinex-based color rendition method. The proposed method uses the HSV color coordinate system to avoid the graying-out, and the advanced image formation model to reduce the halo-artifact in which the image is divided into three components as the global illumination, the local illumination, and reflectance. The experiment results show that the proposed method yields better performance of color correction over the conveniently method.

Adaptive Unsharp Masking Filter Design Based on Multi-Scale Retinex for Image Enhancement (영상의 화질 개선을 위한 Multi-Scale Retinex 기반의 적응적 언샤프 마스킹 필터 설계)

  • Kim, Ju Young;Kim, Jin Heon
    • Journal of Korea Multimedia Society
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    • v.21 no.2
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    • pp.108-116
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    • 2018
  • In this paper, we propose an image enhancement method based on Multi-Scale Retinex theory that designs Unsharp Masking Filter (UMF) and emphasizes the contrast ratio adaptively. Unsharp Masking (UM) technique emphasizes image sharpness and improves contrast ratio by adding high frequency component to the original image. The high frequency component is obtained by differentiating between original image and low frequency image. In this paper, we present how to design an UMF kernel and to adaptively apply it to increase the contrast ratio according to multi-scale retinex theory which resembles human visual system. Experimental results show that the proposed method has better quantitative performance indexes such as PSNR, ambe & SSIM and better qualitative feature like halo artifact suppression.

The correlation of the halo mura and off-axis light leakage level in LCDs with 2D dimmable LED backlight system

  • Kwon, Jang-Un;Byun, Min-Chul;Ham, Jung-Hyun;Baek, Heume-Il;Moon, Hong-Man;Shin, Hyun-Ho
    • 한국정보디스플레이학회:학술대회논문집
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    • 2009.10a
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    • pp.590-593
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    • 2009
  • In the 2D local dimmable LED backlight system, each LED segment can be controlled separately. This can enhance the contrast ratio and reduce overall power consumption of LCDs. However, an artifact such as 'halo mura' can be observed around the bright object in the dark background. This is caused by the light leakage from the bright area into the dark one. Therefore, the 'halo mura' can be more easily observed in the oblique viewing direction. Thus, in this study, the perceivable degree of the halo mura is evaluated according to the level of the off-axis light leakage of LCDs. It is found that an acceptable degree of halo mura can be obtained in 2.0 cd/$m^2$ of the diagonal light leakage. In addition, the halo mura is unperceivable under 0.7 cd/$m^2$ of the diagonal light leakage which can be achieved with optimally compensated polarizers.

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Classification of Tumor cells in Phase-contrast Microscopy Image using Fourier Descriptor (위상차 현미경 영상 내 푸리에 묘사자를 이용한 암세포 형태별 분류)

  • Kang, Mi-Sun;Lee, Jeong-Eom;Kim, Hye-Ryun;Kim, Myoung-Hee
    • Journal of Biomedical Engineering Research
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    • v.33 no.4
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    • pp.169-176
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    • 2012
  • Tumor cell morphology is closely related to its migratory behaviors. An active tumor cell has a highly irregular shape, whereas a spherical cell is inactive. Thus, quantitative analysis of cell features is crucial to determine tumor malignancy or to test the efficacy of anticancer treatment. We use 3D time-lapse phase-contrast microscopy to analyze single cell morphology because it enables to observe long-term activity of living cells without photobleaching and phototoxicity, which is common in other fluorescence-labeled microscopy. Despite this advantage, there are image-level drawbacks to phase-contrast microscopy, such as local light effect and contrast interference ring. Therefore, we first corrected for non-uniform illumination artifacts and then we use intensity distribution information to detect cell boundary. In phase contrast microscopy image, cell is normally appeared as dark region surrounded by bright halo ring. Due to halo artifact is minimal around the cell body and has non-symmetric diffusion pattern, we calculate cross sectional plane which intersects center of each cell and orthogonal to first principal axis. Then, we extract dark cell region by analyzing intensity profile curve considering local bright peak as halo area. Finally, we calculated the Fourier descriptor that morphological characteristics of cell to classify tumor cells into active and inactive groups. We validated classification accuracy by comparing our findings with manually obtained results.

Advanced Frame Rate Conversion without Halo and judder effect for 120Hz LCD Displays

  • Lim, Kyoung-Won;Kim, Han-Soo;Noh, Hyun-Chul;Shin, Hyun-Chul;Jung, Woo-Chul;Koo, Gun-Jae;Park, Ryuk
    • 한국정보디스플레이학회:학술대회논문집
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    • 2008.10a
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    • pp.1397-1400
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    • 2008
  • Frame rate conversion became key technology due to recent advances in LCD panel refresh rates. Although many FRC algorithms have been developed and applied for LCD TV sets, they still suffer from well-known halo artifact. This paper discusses about the artifacts and method to handle them.

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Adaptive Retinex Back-light Compensation Algorithm Using Skewness Information of Image (영상에서 비대칭도 정보를 이용한 적응적인 Retinex 역광 보정 알고리즘)

  • Jeong, Jae-Hyun;Kang, Duk-Goo;Hong, Min-Cheol
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.8C
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    • pp.497-504
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    • 2011
  • This paper presents an adaptive retinex algorithm, In order to solve typical problems of retinex algorithm such as expensive computational cost, halo artifact, and color distortion, a function of skewness that represents a statistical distribution of pixels is defined to compensate contrast and color distortion. The experimental results show that the proposed algorithm leads to subjectively better performance than typical retinex algorithm, and that the proposed algorithm has the capability to reduce approximately 40% computational cost than typical retinex algorithm.

Image Enhancement Algorithm using Dynamic Range Optimization (다이나믹 레인지 최적화를 통한 영상 화질 개선 알고리즘)

  • Song, Ki Sun;Kim, Min Sub;Kang, Moon Gi
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.6
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    • pp.101-109
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    • 2016
  • The images captured by digital still cameras or mobile phones are not always satisfactory because the devices have limited dynamic ranges compared with that of the real world. To cope with the problems, tone mapping function based methods and retinex theory based methods are studied. However, these methods generate a halo artifact or limited enhancement of global and local contrasts. The proposed method estimates illumination information used for image enhancement by optimizing a dynamic range of input image. The estimated illumination information has smoothness characteristic where the luminance is flat and does not have where the luminance changes to prevent the halo artifact. Additionally, the estimated illumination information and surrounding pixel values are considered when the tone mapping function is applied to overcome the limitations of the conventional tone mapping function approach. Experimental results show that the proposed algorithm outperforms the conventional methods on objective and subjective criteria.