Mobile Computing Photography: Principles and Techniques for Mobile Photography 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.

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.