Computational Photography: Methods and Applications (Hardcover)

Computational photography refers broadly to imaging techniques that enhance or extend the capabilities of digital photography. This new and rapidly developing research field has evolved from computer vision, image processing, computer graphics and applied optics—and numerous commercial products capitalizing on its principles have already appeared in diverse market applications, due to the gradual migration of computational algorithms from computers to imaging devices and software.

Computational Photography: Methods and Applications provides a strong, fundamental understanding of theory and methods, and a foundation upon which to build solutions for many of today's most interesting and challenging computational imaging problems. Elucidating cutting-edge advances and applications in digital imaging, camera image processing, and computational photography, with a focus on related research challenges, this book:

• Describes single capture image fusion technology for consumer digital cameras
• Discusses the steps in a camera image processing pipeline, such as visual data compression, color correction and enhancement, denoising, demosaicking, super-resolution reconstruction, deblurring, and high dynamic range imaging
• Covers shadow detection for surveillance applications, camera-driven document rectification, bilateral filtering and its applications, and painterly rendering of digital images
• Presents machine-learning methods for automatic image colorization and digital face beautification
• Explores light field acquisition and processing, space-time light field rendering, and dynamic view synthesis with an array of cameras

Because of the urgent challenges associated with emerging digital camera applications, image processing methods for computational photography are of paramount importance to research and development in the imaging community. Presenting the work of leading experts, and edited by a renowned authority in digital color imaging and camera image processing, this book considers the rapid developments in this area and addresses very particular research and application problems. It is ideal as a stand-alone professional reference for design and implementation of digital image and video processing tasks, and it can also be used to support graduate courses in computer vision, digital imaging, visual data processing, and computer graphics, among others.

計算攝影廣泛指增強或擴展數碼攝影能力的影像技術。這個新興且快速發展的研究領域源於計算機視覺、圖像處理、計算機圖形學和應用光學，由於計算算法從計算機逐漸遷移到影像設備和軟件，因此已經出現了許多基於其原理的商業產品，應用於不同的市場應用領域。

《計算攝影：方法與應用》提供了對理論和方法的深入理解，以及解決當今最有趣和具有挑戰性的計算攝影問題的基礎。本書闡述了數字影像、相機影像處理和計算攝影的前沿進展和應用，並聚焦於相關的研究挑戰。本書包括以下內容：

- 描述了用於消費數碼相機的單張合成影像技術
- 討論了相機影像處理流程中的步驟，如視覺數據壓縮、色彩校正和增強、降噪、去馬賽克、超分辨率重建、去模糊和高動態範圍影像
- 涵蓋了監控應用中的陰影檢測、相機驅動的文件矯正、雙邊濾波及其應用，以及數字影像的繪畫渲染
- 提出了用於自動圖像上色和數字人臉美化的機器學習方法
- 探討了光場的獲取和處理、時空光場渲染以及使用多個相機進行動態視角合成

由於新興數碼相機應用所面臨的迫切挑戰，計算攝影的影像處理方法對於影像社區的研究和開發至關重要。本書匯集了領先專家的研究成果，由著名的數字彩色影像和相機影像處理權威編輯，考慮了這一領域的快速發展，並解決了非常特定的研究和應用問題。本書是設計和實施數字影像和視頻處理任務的獨立專業參考資料，也可用於支持計算機視覺、數字影像、視覺數據處理和計算機圖形學等研究生課程。