"Dehazing for Image and Video Using Guided Filter"
written by Zheqi Lin, Xuansheng Wang,
published by Open Journal of Applied Sciences, Vol.2 No.4B, 2012
has been cited by the following article(s):
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[7] Hybrid Dehazing Technique using IDCP with Histogram Equalization for Color Image
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[8] Proposal of Dehazing Method and Quantitative Index for Evaluation of Haze Removal Quality
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[10] Guided filter-based images fusion algorithm for CT and MRI medical images
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[11] Research of polarized image defogging technique based on color space conversion
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[12] A Review of Image Restoration based Image Defogging Algorithms
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[13] Fuzzy non-local image guided filter and averaging
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[14] 悪条件下で撮影された画像の視認性改善に関する研究
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[15] Haze Removal Algorithms for Digital Photography
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[16] A Review of Image Restoration based Image Defogging Algorithms.
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[17] ENHANCING THE BORDER AREA SECURITY BY USING HAZE REMOVAL AND OBJECT CLASSIFICATION TECHNIQUES
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[18] Weighted image de-fogging using luminance dark prior
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[19] A Novel Visibility Restoration Technique for Hazy Videos Captured in Real-World Weather Conditions
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[20] Real time image and video deweathering: The future prospects and possibilities
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[21] A review on dark channel prior based image dehazing algorithms
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[22] Review of video and image defogging algorithms and related studies on image restoration and enhancement
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[23] A survey about object detection and classification in image processing
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[24] Analysis of the atmospheric visibility Restoration and fog attenuation using gray scale image
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[25] HAZE REMOVAL USING GRADIENT FUSION STRATEGY
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[26] A Review on video dehazing techniques
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[27] Robust image dehazing using a duided filter
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[28] Enhancement of Weather Degraded Images: A Survey
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[29] Measuring quality of the Hazy image dependind on He-Ne Laser
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[30] A faithful restoration of haze images using an optimized transmission map
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[31] A novel method for video dehazing by multi-scale fusion
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[32] Single image fog removal using COIN filters
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[33] A Literature Survey of Image Enhancement of Human Biology
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[34] Study a quality of the Hazy image by using YIQ color space
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