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研究生: 邱勝文
Sheng-Wen Chiu
論文名稱: 以例子為基礎的影像風格化
Example-Based Image Stylization
指導教授: 張鈞法
Chang, Chun-Fa
學位類別: 碩士
Master
系所名稱: 資訊工程學系
Department of Computer Science and Information Engineering
論文出版年: 2013
畢業學年度: 101
語文別: 中文
論文頁數: 69
中文關鍵詞: 影像強化相片風格色彩映射開放電腦視覺函式庫
英文關鍵詞: Image Enhancement, Picture Style, Color Mapping, Open Computer Vision Library
論文種類: 學術論文
相關次數: 點閱:127下載:8
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  • 風格化議題在近年來逐漸受到矚目,原因是社群網站和智慧手機的興起,使得影像分享的活動日趨頻繁,人們在平時常會拿數位相機或手機相機記錄日常生活,在社交活動越來越自由且開放的情況下,使用設備預先設定的模式拍攝影像已難以滿足多數人的需求,於是各種平台都出現簡單且容易使用的風格化工具。
    本論文嘗試利用開放電腦視覺函式庫(Open Computer Vision Library),實現風格化訓練系統,利用幾十張的訓練影像對,建立原始影像與強化影像的映射表,此映射表涵蓋整個RGB色彩空間。一旦建立好色彩空間映射表,即可利用它來風格化所有相片,來快速達到我們想要的風格。
    然而事實上,無法僅以幾十張就能訓練出涵蓋整個RGB色彩空間的映射表,以致此映射表充滿許多「空洞(Hole)」,多數像素無法順利找到對應的關係,於是我們想出以簡單的機率與統計來實現演算法,最後產生的結果影像經由電腦視覺的標準和人類眼睛的驗證後,效果令人滿意。

    內文目錄 第一章 緒論..................................................5 1.1研究背景...................................................5 1.2研究目的...................................................5 1.3研究意義...................................................6 1.4論文架構...................................................6 第二章 相關文獻與研究........................................7 2.1前言.......................................................7 2.2背景提要...................................................7 2.3問題描述...................................................8 2.4目標與方法.................................................9 2.5發展與貢獻.................................................10 2.6結語.......................................................10 第三章 相關知識與技術概論....................................13 3.1 TONE MAPPING與COLOR MAPPING 概論..........................13 3.1.1什麼是色調映射(TONE MAPPING)?.........................13 3.1.2色調映射的目標是什麼?...................................13 3.1.3色調映射的方法有哪些?...................................13 3.1.4什麼是高動態範圍影像(HIGH DYNAMIC RANGE IMAGE, HDRI)?.15 3.1.5什麼是色彩映射(COLOR MAPPING)?........................15 3.2LAB色彩空間和RGB色彩空間概論...............................15 3.2.1LAB色彩空間..............................................15 3.2.2RGB色彩空間..............................................16 3.3JPG壓縮格式和PNG壓縮格式概論...............................17 3.3.1JPG壓縮格式..............................................17 3.3.2PNG壓縮格式..............................................19 3.4OPENCV概論.................................................21 3.4.1起源.....................................................21 3.4.2應用領域.................................................21 3.4.3程式語言.................................................21 3.4.4作業系統.................................................21 第四章 實現風格化............................................23 4.1實驗流程...................................................23 4.2資料結構與演算法...........................................24 4.3名詞解釋...................................................25 4.4累計RGB值的原因............................................27 4.5準備訓練影像對.............................................31 4.6準備測試影像對.............................................34 4.7驗證相似程度...............................................36 第五章 驗證方法..............................................37 5.1第一種驗證方法:電腦眼睛...................................37 5.1.1峰值信號雜訊比(PEAK SIGNAL TO NOISE RATIO,PSNR).......37 5.1.2結構相似性指標(STRUCTURAL SIMILARITY INDEX,SSIM INDEX)38 5.2第二種驗證方法:人類眼睛...................................39 5.3影像品質與驗證指標的關係...................................39 第六章 實驗結果與討論........................................42 實驗組一(鮮艷生動):52張測試相片............................43 實驗組二(冷色系)58張測試相片................................45 實驗組三(暖色系)58張測試相片................................47 第七章 論文結論與展望........................................55 參考文獻......................................................67 論文相關......................................................67 網站相關......................................................68 附錄..........................................................58 附錄一:生成訓練影像對映射表之程式碼..........................58 附錄二:整個色彩空間資料結構之程式碼..........................59 附錄三:讀取訓練影像對映射表之程式碼..........................59 附錄四:強化測試影像對之程式碼(本論文核心)..................60 附錄五:計算PSNR之程式碼......................................64 附錄六:計算SSIM之程式碼......................................65

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