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.

chapter 1|30 pages

Single-Sensor Digital Color Imaging Fundamentals

ByRastislav Lukac

chapter 2|36 pages

Reusable Embedded Software Platform for Versatile Single-Sensor Digital Cameras

ByWen-Chung Kao, Hung-Hsin Wu, Sheng-Yuan Lin

chapter 3|38 pages

Digital Camera Image Processing Chain Design

ByJames E. Adams, Jr. and John F. Hamilton, Jr.

chapter 4|32 pages

Optical Antialiasing Filters Russ Palum

chapter 5|16 pages

Spatio-Spectral Sampling and Color Filter Array Design

ByKeigo Hirakawa, Patrick J. Wolfe

chapter 6|30 pages

Mosaicking and Demosaicking in the Design of Multispectral Digital Cameras

ByLidan Miao, Hairong Qi, Wesley E. Snyder

chapter 8|26 pages

Linear Minimum Mean Square Error Demosaicking

ByDavid Alleysson, Brice Chaix de Lavare`ne, Sabine Su¨sstrunk, and Jeanny He´rault

chapter 10|28 pages

Automatic White Balancing in Digital Photography

ByEdmund Y. Lam, George S. K. Fung

chapter 12|28 pages

Exposure Correction for Imaging Devices: An Overview

BySebastiano Battiato, Giuseppe Messina, Alfio Castorina

chapter 13|30 pages

Digital Camera Image Storage Formats

ByKenneth A. Parulski, Robert Reisch

chapter 14|24 pages

Modelling of Image Processing Pipelines in Single-Sensor Digital Cameras

ByNai-Xiang Lian, Vitali Zagorodnov, Yap-Peng Tan

chapter 15|24 pages

Lossless Compression of Color Mosaic Images and Videos

ByNing Zhang, Xiaolin Wu, Lei Zhang

chapter 16|30 pages

Automatic Red-Eye Removal for Digital Photography

ByFrancesca Gasparini, Raimondo Schettini

chapter 17|26 pages

Image Resizing Solutions for Single-Sensor Digital Cameras

ByRastislav Lukac

chapter 18|18 pages


ByLei Zhang, Wei Lian

chapter 19|32 pages

Simultaneous Demosaicking and Resolution Enhancement from Under- Sampled Image Sequences

BySina Farsiu, Dirk Robinson, Michael Elad, Peyman Milanfar

chapter 20|28 pages

An Overview of Image / Video Stabilization Techniques

ByWen-Chung Kao, Sheng-Yuan Lin