Mobile Computational Photography

Erscheinungsjahr 2026
ISBN: 978-981-959521-1
Verlag: Springer Verlag, Singapore

Buch, Englisch, 537 Seiten, Format (B × H): 155 mm x 235 mm

 offers a comprehensive exploration of the revolutionary field of computational imaging as applied to mobile devices. This book delves into how smartphone cameras, despite their inherent physical limitations compared to traditional cameras, leverage cutting-edge computational approaches to achieve stunning photographic and videographic results. Readers will gain a deep understanding of the core principles, algorithms, and applications that define modern mobile photography.

Beginning with the evolution of digital imaging and the fundamental components of mobile camera systems—including image sensors (CCD vs. CMOS, size, resolution, shutter types) and the intricate Image Signal Processor (ISP)—the book then meticulously unpacks key computational photography techniques. Detailed chapters cover essential functions such as automatic focus, automatic white balance, and automatic exposure, exploring their underlying mechanisms and advancements in mobile contexts. The text further examines sophisticated features like High Dynamic Range (HDR) imaging, the complexities and opportunities of multi-camera computational photography, and robust video stabilization techniques.

Finally, Mobile Computing Imaging ventures into advanced topics that are reshaping the landscape of mobile visual capture, including image/video bokeh effects, advanced low-light image and video processing, and super-resolution techniques. Crucially, it highlights the transformative impact of large models and artificial intelligence on enhancing mobile imaging capabilities, offering insights into deep learning-based ISP design. Written for scientists, researchers, practitioners, and postgraduates in computer vision, image processing, and mobile computing, this book serves as an indispensable resource for anyone seeking to master the intricacies and future trends of mobile computational photography.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ren, Jianfeng

Han, Junwei

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Handheld Programmierung
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision

Inhaltsverzeichnis

.- 1 Computational Photography for Mobile Cameras.- 2 Image Sensors.- 3 Image Signal Processor ISP.- 4 Autofocus.- 5 Autofocus System Implementation.- 6 Auto White Balance.- 7 Auto White Balance (AWB) System.- 8 Auto Exposure.- 9 Auto Exposure System Implementation.- 10 Camera Tuning.- 11 Image Quality Assessment.- 12 High Dynamic Range Picture (HDR).- 13 HDR Implementation.- 14 Multiple Sensor Computational Photography.- 15 Multi-Camera Fusion Implementation.- 16 Video Stabilization.- 17 Video Stabilization Implementation.- 18 Image/Video Bokeh.- 19 Depth-Aware Portrait Effects.- 20 Low-Light Image/Video Processing.- 21 Super-Resolution Images/Videos.- 22 Video Super Resolution Implementation.- 23 LLM in Computational Photography.- 24 Application: Autonomous Driving.- 25 Application: AR Glasses.- 26 Deep-Learning Based ISP Design.

Über Autor(innen)

Dr. Jianfeng (Jeff) Ren is an accomplished engineering leader with over 15 years of experience in computer vision, computational photography, and AI-enabled imaging systems. He currently serves as a Software Engineering Manager at Google, where he has been instrumental in advancing autofocus algorithms and telephoto imaging for the Pixel smartphone line. His contributions have led to industry-leading performance and significant IP development.

Dr. Ren holds the Ph.D. degrees in Electrical Engineering and is further enhancing his strategic leadership skills in technology innovation and digital transformation through the MIT CTO Program. He is a prolific author, with four books published by Springer on subjects such as Python programming, mobile computing imaging, and computer vision. His expertise is further evidenced by more than 20 granted patents worldwide and numerous peer-reviewed publications, showcasing his ability to bridge cutting-edge academic research with high-impact product development. Dr. Ren is also a dedicated mentor and a frequent speaker at AI and engineering forums.