Color filter array design based on a human visual model

Manu Parmar; Stanley J. Reeves

doi:10.1117/12.538833

21 May 2004 Color filter array design based on a human visual model

Manu Parmar, Stanley J. Reeves

Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.538833
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

To reduce cost and complexity associated with registering multiple color sensors, most consumer digital color cameras employ a single sensor. A mosaic of color filters is overlaid on a sensor array such that only one color channel is sampled per pixel location. The missing color values must be reconstructed from available data before the image is displayed. The quality of the reconstructed image depends fundamentally on the array pattern and the reconstruction technique. We present a design method for color filter array patterns that use red, green, and blue color channels in an RGB array. A model of the human visual response for luminance and opponent chrominance channels is used to characterize the perceptual error between a fully sampled and a reconstructed sparsely-sampled image. Demosaicking is accomplished using Wiener reconstruction. To ensure that the error criterion reflects perceptual effects, reconstruction is done in a perceptually uniform color space. A sequential backward selection algorithm is used to optimize the error criterion to obtain the sampling arrangement. Two different types of array patterns are designed: non-periodic and periodic arrays. The resulting array patterns outperform commonly used color filter arrays in terms of the error criterion.

Citation Download Citation

Manu Parmar and Stanley J. Reeves "Color filter array design based on a human visual model", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.538833

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