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研究生: 黃瑋琦
Wei-Chi Huang
論文名稱: 高動態範圍下的影像融合與色調重現
High Dynamic Range Imaging by Image Fusion and Tone Reproduction
指導教授: 高文忠
Kao, Wen-Chung
學位類別: 碩士
Master
系所名稱: 電機工程學系
Department of Electrical Engineering
論文出版年: 2008
畢業學年度: 96
語文別: 中文
論文頁數: 78
中文關鍵詞: 色調重現影像融合高動態範圍數位相機統計圖等化區域對比增強
英文關鍵詞: Tone reproduction, image fusion, high dynamic range, histogram equalization, digital camera, local contrast enhancement
論文種類: 學術論文
相關次數: 點閱:162下載:16
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  • 色調重現目的是去調整或映射高動態範圍影像,調整影像圖素的亮度以及更好的對比度。本論文提出一個完善的彩色影像系統對於在極高動態範圍下場景的影像拍攝。用五張不同曝光的原始影像作融合來拓展動態範圍的概念,搭配色調重現和局部對比增強演算法以重現原始影像的對比和細節。
    系統首先融合多張不同曝光的原始影像以獲得更多的動態範圍資訊,融合後原始影像的有效動態範圍可以擴展到256倍,接著對影像在不同亮度下重複抽取邊緣以擷取影像的細節,我們所提出的色調重現演算法將所擷取到的最佳邊緣統計圖作等化以分配到更均勻分佈的區域。最後區域對比增強使影像的細部更明顯。經由實驗結果,我們提出的高動態範圍影像系統能夠在色調重現及色彩鮮明度上得到好的結果。

    Tone reproduction attempts to scale or map high dynamic range image data such that the resulting image has preserved the visual brightness and better contrast impression of the original scenes. In this paper, we propose an integrated color imaging system for taking images in extremely high dynamic range scenes.
    The system first fuses several differently exposed raw images to acquire more intensity information. The effective dynamic range of the image raw data can be
    extended to 256 times if five differently exposed images are fused. Then it runs edge detection iterations to extract the image details in different luminance levels. The proposed tone reproduction algorithm equalizes the histogram of the extracted fine edges which tends to assign larger dynamic range for highly populated regions. Finally, the local contrast enhancement is performed to further refine the image details. The experimental results show that the proposed high dynamic range imaging system has good performance on both tone and color reproduction.

    摘 要 i ABSTRACT ii 致 謝 iii 圖目錄 vi 表目錄 viii 第一章 緒論 1 1.1研究動機與背景 1 1.2相關研究概述 2 1.3高動態範圍存在的問題 4 1.4提出的方法 5 1.5論文架構 6 第二章 色調重現相關研究及探討 7 2.1影像相關背景 7 2.1.1高動態範圍與壓縮 7 2.1.2人類視覺系統 8 2.1.3色彩空間 9 2.2彩色影像處理流程 11 2.3色調重現之相關研究 16 2.3.1統計圖等化 16 2.3.2色調重現曲線(TRC) 22 2.3.3色調重現算子(TRO) 32 第三章 色調重現演算法 38 3.1演算法架構 38 3.2多重曝光影像的融合 39 3.3邊緣偵測與色調重現曲線(TRC) 42 3.4區域對比的增強 47 3.5 RGB增益值的調整 48 3.5.1 TRC的增益 48 3.5.2區域對比的增益 50 第四章 實驗結果 51 4.1 概要 51 4.1.1影像來源介紹 51 4.1.2彩色影像格式 52 4.1.3實驗場景 53 4.2單張原始影像與五張融合的比較 54 4.3局部對比增強的結果 55 4.4影像處理流程的結果比較與投票結果 57 第五章 結論與未來工作 64 5.1結論 64 5.2未來工作 64 參考文獻 65

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