Novel Defog Algorithm via Evaluation of Local Color Saturation

Park, Hyungjo; Park, Dubok; Ko, Hanseok

doi:10.5573/ieie.2014.51.3.119

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…제안하는 알고리즘 Ⅳ. 실험 결과 본 논문에서는 제안하는 알고리즘의 성능을 평가하기 위 해 He [4] , Fattal [8] , Tan [9] 의 안개 제거 결과를 Taral [10] 의 성 능 지표 결과 비교를 통해 나타내었으며, 영상의 크기에 별로 He의 안개 제거 결과와 제안하는 알고리즘의 수행 시 간을 비교하였다 [11] . …”

Section: 을 보정 한 후 전달량 정련을 위해 Fast Guided Filter(fgd)unclassified

Improved Dark Channel Prior Dehazing Algorithm by using Compensation of Haze Rate Miscalculated Area

Kim¹,

Cha²

2016

Journal of Broadcast Engineering

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As a result of reducing color information and edge information, object distinction in haze image occurs with difficulty. One of the famous defogging algorithm is haze removal by using 'Dark Channel Prior(DCP)', which is used to predict for transmission rate using color information of an image and eliminates haze from the image. But, In case that haze rate is estimated under color information, there is a miscalculated issue which is posed by haze rate and transmission in area with high brightness such as a white object or a light source. In this paper, We deal with a miscalculated issue by correcting from around haze rate, after application of color normalization used by main white part of image haze. Moreover, We calculation improved transmission based on the result of improved haze rate estimation. And then haze image quality is developed through refining transmission.

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Section: 을 보정 한 후 전달량 정련을 위해 Fast Guided Filter(fgd)unclassified

Improved Dark Channel Prior Dehazing Algorithm by using Compensation of Haze Rate Miscalculated Area

Kim¹,

Cha²

2016

Journal of Broadcast Engineering

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“…Fattal [8] 은 안개 영상내 음영간의 반사율을 측정 하고, 일정 지역 내에서 측정된 통계적 독립성을 이용 하여 반사율을 계산한다. 하지만 전달량을 추정하는 단 계에서 ICA를 이용하여 영상을 복원하는 단계에서 복 잡도가 높은 단점이 존재한다 [6] . DCP에서 그림 2.…”

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An Efficient Video Dehazing to Without Flickering Artifacts

Kim¹,

Park²,

Lee³

et al. 2014

Journal of the Institute of Electronics and Information Enginee

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In this paper, we propose a novel method to effectively eliminate flickering artifacts caused by dehazing in video sequences. When applying a dehazing technique directly to each image in a video sequence, flicker artifacts may occur because atmospheric values are calculated without considering the relation of adjacent frames. Although some existing methods reduce flickering artifacts by calculating highly correlated transmission values between adjacent frames, flickering artifacts may still occur. Therefore, in order to effectively reduce flickering artifacts, we propose a novel approach considering temporal averages of atmospheric light values calculated from adjacent frames. Experimental results have shown that the proposed method achieves better performance of video dehazing with less flickering artifact than existing methods.

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Novel Defog Algorithm via Evaluation of Local Color Saturation

Cited by 2 publications

References 5 publications

Improved Dark Channel Prior Dehazing Algorithm by using Compensation of Haze Rate Miscalculated Area

Improved Dark Channel Prior Dehazing Algorithm by using Compensation of Haze Rate Miscalculated Area

An Efficient Video Dehazing to Without Flickering Artifacts

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