Extracting colorimetric image information from the spectral characteristics of image sensors is a key issue in accurate image acquisition. Technically feasible filter/sensor combinations usually do not replicate colorimetric responses with sufficient accuracy to be directly applicable to color representation. A variety of transformations have been proposed in the literature to compensate for this. However, most of those rely on heuristics and/or introduce a reconstruction dependent on the composition of the incoming illumination. In this work, we present a spectral reconstruction method that is independent of illumination and is derived in a mathematically strict way. It provides a deterministic method to arrive at a least mean squared error approximation of a target spectral characteristic from arbitrary sensor response curves. Further, we present a new CMOS sensor design in a standard digital 65nm CMOS technology. Novel circuit techniques are used to achieve performance comparable with much larger-sized specialized photo-CMOS processes. The sensor is utilized as testbed for the spectral reconstruction method.
@article{arxiv.1408.1926,
title = {65 nm CMOS Sensors Applied to Mathematically Exact Colorimetric Reconstruction},
author = {C. Mayr and S. Henker and A. Krause and J. -U. Schlüßler and R. Schüffny},
journal= {arXiv preprint arXiv:1408.1926},
year = {2014}
}