3 April 1997 Design of practical color filter array interpolation algorithms for digital cameras
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Proceedings Volume 3028, Real-Time Imaging II; (1997); doi: 10.1117/12.270338
Event: Electronic Imaging '97, 1997, San Jose, CA, United States
Single-chip digital cameras use a color filter array and subsequent interpolation strategy to produce full-color images. WHile the design of the interpolation algorithm can be grounded in traditional sampling theory, the fact that the sampled data is distributed among three different color planes adds a level of complexity. Previous ways of treating this problem were based on computationally intensive approaches, such as iteration. Such methods, while effective, cannot be implemented in todays crop of digital cameras due to the limited computing resources of the cameras and the accompanying host computers. These previous methods are usually derived from general numerical methods that do not make many assumptions about the nature of the data. Significant computational economies, without serious losses in image quality, can be achieved if it is recognized that the data is image data and some appropriate image model is assumed. To this end, the design of practical, high- quality color filter array interpolation algorithms based on a simple image model is discussed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
James E. Adams, "Design of practical color filter array interpolation algorithms for digital cameras", Proc. SPIE 3028, Real-Time Imaging II, (3 April 1997); doi: 10.1117/12.270338; https://doi.org/10.1117/12.270338

Optical filters

Digital cameras

Image processing

Data modeling

Image quality

Fourier transforms

Adaptive optics

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