- 600 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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.
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Information
Table of contents
- Cover Page
- Half Title
- Image Processing Series
- Title Page
- Copyright Page
- Frontmatter
- Dedication Page
- Preface
- The Editor
- Contributors
- Table of Contents
- 1: Single-Sensor Digital Color Imaging Fundamentals
- 2: Reusable Embedded Software Platform for Versatile Single-Sensor Digital Cameras
- 3: Digital Camera Image Processing Chain Design
- 4: Optical Antialiasing Filters
- 5: Spatio-Spectral Sampling and Color Filter Array Design
- 6: Mosaicking and Demosaicking in the Design of Multispectral Digital Cameras
- 7: Color Filter Array Sampling of Color Images: Frequency-Domain Analysis and Associated Demosaicking Algorithms
- 8: Linear Minimum Mean Square Error Demosaicking
- 9: Color Filter Array Image Analysis for Joint Demosaicking and Denoising
- 10: Automatic White Balancing in Digital Photography
- 11: Enhancement of Digital Photographs Using Color Transfer Techniques
- 12: Exposure Correction for Imaging Devices: An Overview
- 13: Digital Camera Image Storage Formats
- 14: Modelling of Image Processing Pipelines in Single-Sensor Digital Cameras
- 15: Lossless Compression of Color Mosaic Images and Videos
- 16: Automatic Red-Eye Removal for Digital Photography
- 17: Image Resizing Solutions for Single-Sensor Digital Cameras
- 18: Video-Demosaicking
- 19: Simultaneous Demosaicking and Resolution Enhancement from Under-Sampled Image Sequences
- 20: An Overview of Image / Video Stabilization Techniques
- Index