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    题名: 基於直方圖-視覺之雙變換器架構的白平衡校正
    HVDualformer: Histogram-Vision Dual Transformer for White Balance Correction
    作者: 陳冠融
    Chen, Guan-Rong
    贡献者: 彭彥璁
    Peng, Yan-Tsung
    陳冠融
    Chen, Guan-Rong
    关键词: 色彩一致性
    白平衡
    變換器
    Color Constancy
    White Balance
    Transformer
    日期: 2024
    上传时间: 2024-09-04 14:59:56 (UTC+8)
    摘要: 在不同色溫條件下拍攝照片可能導致色偏，使呈現的顏色與人眼通常看到的顏色不同。消除這樣的色溫偏移以實現白平衡是一項具有挑戰性的任務。它需要考慮來自不同光源的色調變化，並確定一個單一的參考點來消除色偏。深度神經網絡的出現顯著推動了白平衡方法的進展，從找到場景照明顏色到直接從顏色偏移的輸入中獲得色彩一致的圖像。為了更好地從輸入圖像中提取顏色分佈和場景信息以進行白平衡，我們提出了HVDualformer，一種直方圖-視覺雙變換器架構，可以校正圖像色溫直方圖中的色溫特徵並將其與圖像特徵相關聯。所提出的HVDualformer可以處理單一光源和多光源的兩種情況。對公開基準數據集的廣泛實驗結果表明，所提出的模型在性能上優於最先進的方法。
    Shooting photos under different color temperatures could lead to color casts, causing the presented color to be different from what human eyes see normally. Removing such color temperature shifts to achieve white balance is a challenging task. It needs to consider color tone variations from different light sources and pinpoint a single reference point to remove color casts.
    The emergence of deep neural networks has significantly advanced the progress of white balance methods, from finding the scene illumination color to obtaining a color-consistent image directly from the color-shifted input. To better extract color distributions and scene information from the input image for white balance, we propose HVDualformer, a histogram-vision dual transformer architecture that rectifies color temperature features from image color histograms and correlates them with image features. The proposed HVDualformer can handle both scenarios with the single-light source and multiple-light source. The extensive experimental results on public benchmark datasets show that the proposed model performs favorably against state-of-the-art methods.
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    描述: 碩士
    國立政治大學
    資訊科學系
    111753139
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0111753139
    数据类型: thesis
    显示于类别:[資訊科學系] 學位論文

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