Introduction To Image Stabilization

Introduction to Image Stabilization

The use of image stabilization has grown to the point that it is now a common component of modern optical systems for imaging, communications, and remote-sensing applications. The benefits of image stabilization to astronomical research alone are so rich that it is common for astronomical telescopes, built over the last century, to be retrofitted with fast steering mirrors and tip-tilt sensors to extend their useful lifetimes. This text provides the basics of image stabilization starting with a consideration of the cause of image blurring and an introduction to the components commonly used in constructing a stabilized imaging system. With this foundation, an example image stabilized system is described and used to introduce some of the important parameters in evaluating the performance of image stabilization systems. As image stabilization systems are key components of adaptive optics systems, the more sophisticated sensing and correction devices used in this area are briefly addressed. Rather than being a mathematical, rigorous treatment of image stabilization, it provides the basic ideas in an easy-to-read format.

Introduction To Image Stabilization

Single-Sensor Imaging

A Decade of Extraordinary Growth The past decade has brought a surge of growth in the technologies for digital color imaging, multidimensional signal processing, and visual scene analysis. These advances have been crucial to developing new camera-driven applications and commercial products in digital photography. Single-Sensor Imaging: Methods and Applications for Digital Cameras embraces this extraordinary progress, comprehensively covering state-of-the-art systems, processing techniques, and emerging applications. Experts Address Challenges and Trends Single-Sensor Imaging: Methods and Applications for Digital Cameras presents leading experts elucidating their own accomplishments in developing the technologies reshaping this field. The editor invited renowned authorities to address specific research challenges and recent trends in their particular areas of expertise. The book discusses single-sensor digital color imaging fundamentals, including reusable embedded software platform, digital camera image processing chain, optical filter and color filter array designs. It also details the latest techniques and approaches in contemporary and traditional digital camera color image processing and analysis for various sophisticated applications, including: Demosaicking and color restoration White balancing and color transfer Color and exposure correction Image denoising and color enhancement Image compression and storage formats Red-eye detection and removal Image resizing Video-demosaicking and superresolution imaging Image and video stabilization A Solid Foundation of Knowledge to Solve Problems Single-Sensor Imaging: Methods and Applications for Digital Cameras builds a strong fundamental understanding of theory and methods for solving many of today’s most interesting and challenging problems in digital color image and video acquisition, analysis, processing, and storage. A broad survey of the existing solutions and relevant literature makes this book a valuable resource both for researchers and those applying rapidly evolving digital camera technologies.