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研究生:陳聯暘
研究生(外文):Lien-Yang Chen
論文名稱:數位相機之色調重現演算法設計
論文名稱(外文):Tone Reproduction Algorithm Design for Digital Still Cameras
指導教授:高文忠
指導教授(外文):Wen-chung Kao
學位類別:碩士
校院名稱:國立臺灣師範大學
系所名稱:應用電子科技研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2007
畢業學年度:95
語文別:中文
論文頁數:84
中文關鍵詞:色調重現動態範圍壓縮數位相機直方圖等化
外文關鍵詞:Tone reproductiondynamic range reductionhistogram equalizationdigital camera
相關次數:
  • 被引用被引用:0
  • 點閱點閱:272
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
色調重現是藉由調整或映射高動態範圍影像,保存原始所看到影像的亮度以及更好的對比度,以獲得真實影像的色調呈現。本論文提出一個影像色調調整的方法,並且整合到我們所開發的穩健的彩色影像處理流程中。藉由影像的巨集邊緣資訊,將巨集邊緣統計分佈圖等化重新分佈,等化分佈的過程中尋求每張圖的色調曲線特性。經由實驗證明,我們提出的色調重現演算法能適應各種場景及環境光源,改善影像的對比及色彩的鮮明度。
除了在PC模擬之外,我們也將演算法移植到嵌入式系統發展版上。針對系統板的特性及加速執行運算速度,改變變數的宣告型態成為整數以及利用查表法技巧。實驗結果證明提出的演算法能適應於一般的嵌入式系統中,並且執行消耗的功率低於個人電腦執行的消耗功率。
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 a systematic approach to tone reproduction by histogram equalization of macro edges. The proposed approach has been integrated with a robust image processing pipeline, and the experimental results show that the proposed algorithm is very stable for accommodating diverse illuminants and scenes.
In addition to running simulation on a computer, we also have ported the algorithm to an embedded system development kit. Several modifications are implemented such as changing the variables to integer type, and speeding up some time consuming operations by using lookup tables (LUTs.) The experimental results show that the proposed algorithm can be realized on a typical embedded system whose computation power is typically lower than a personal computer.
摘 要 i
ABSTRACT ii
致 謝 iii
表目錄 vi
圖目錄 vii
第一章  緒論 1
1.1研究動機 1
1.2相關研究 3
1.2.1色調重現曲線映射 3
1.2.2色調重現運算子映射 4
1.3目前這些方法所存在的缺點及問題 7
1.4提出的方法 8
1.5論文章節架構 9
第二章 數位相機影像流程處理系統架構簡介 10
2.1概述 10
2.2彩色影像處理流程 11
第三章 色調重現相關研究及探討 16
3.1相關背景 16
3.1.1影像的動態範圍 16
3.1.2人類視覺系統 17
3.1.3 CIELAB色彩空間 19
3.1.4 Tone Reproduction Curve 24
3.1.5直方圖處理 26
3.2相關研究概述 30
3.3色調重現曲線映射 31
3.4色調重現運算子映射 42
3.5相關研究問題討論 46
第四章 色調重現演算法 48
4.1演算法架構 48
4.2巨集邊緣偵測 49
4.3動態建立TRC 50
4.4根據TRC調整像素的RGB值 54
第五章 實驗結果 57
5.1 概要 57
5.2彩色影像來源 57
5.3未經過色調重現處理 59
5.4色調重現處理討論 63
5.4.1 在SRGB下調整和L*下調整的比較 68
5.5 實驗結果 70
5.6嵌入式軟體系統討論 72
5.6.1效能的評估比較 73
5.6.2實驗結果 74
第六章 結論與未來展望 77
6.1結論 77
6.2未來展望 78
參考文獻 79
自 傳 83
學 術 成 果 84
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