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    政大機構典藏 > 資訊學院 > 資訊科學系 > 期刊論文 >  Item 140.119/143297


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    題名: A Fast Two-Stage Bilateral Filter Using Constant Time O(1) Histogram Generation
    作者: 彭彥璁
    Peng, Yan-Tsung
    Cheng, Sheng-Wei;Lin, Yi-Ting
    貢獻者: 資科系
    關鍵詞: O(1) complexity;bilateral filtering;gaussian filtering;image smoothing
    日期: 2022-01
    上傳時間: 2023-02-06 14:30:12 (UTC+8)
    摘要: Bilateral Filtering (BF) is an effective edge-preserving smoothing technique in image processing. However, an inherent problem of BF for image denoising is that it is challenging to differentiate image noise and details with the range kernel, thus often preserving both noise and edges in denoising. This letter proposes a novel Dual-Histogram BF (DHBF) method that exploits an edge-preserving noise-reduced guidance image to compute the range kernel, removing isolated noisy pixels for better denoising results. Furthermore, we approximate the spatial kernel using mean filtering based on column histogram construction to achieve constant-time filtering regardless of the kernel radius` size and achieve better smoothing. Experimental results on multiple benchmark datasets for denoising show that the proposed DHBF outperforms other state-of-the-art BF methods.
    關聯: Sensors, Vol.22, No.3, 926
    資料類型: article
    DOI 連結: https://doi.org/10.3390/s22030926
    DOI: 10.3390/s22030926
    顯示於類別:[資訊科學系] 期刊論文

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