Paper
23 February 2005 Variational color transformation method for direct color imaging
Author Affiliations +
Proceedings Volume 5678, Digital Photography; (2005) https://doi.org/10.1117/12.585199
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
As an imaging scheme with a single solid-state sensor, the direct color-imaging approach is considered promising. The sensor has photo-sensing layers more than two along its depth direction. Although each pixel has multiple color signals, their spectral sensitivities are overlapped with each other. The overlapped color signals should be transformed to color signals specified by an output device. We present a color transformation method for the direct color-imaging scheme. Our method tries to recover multi-spectral reflectance and then to transform colors by utilizing it. The problem is formulated as the inverse problem that multi-spectral reflectance with a large number of color channels are recovered from observed color signals with a smaller number of color channels, and solved by the regularization technique that minimizes the functional composed of a color-fidelity term and a spectral-regularity term. The color-fidelity term quantifies errors in linear transformation from multi-spectral reflectance to observed color signals; whereas the spectral-regularity term quantifies the property that spectral reflectance at a color channel is similar to those at its neighboring channels. We simulate the direct color-imaging scheme and our method. The results show that in the case of more than five photo-sensing layers our method restores multi-spectral reflectance satisfactorily.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Takahiro Saito and Takashi Komatsu "Variational color transformation method for direct color imaging", Proc. SPIE 5678, Digital Photography, (23 February 2005); https://doi.org/10.1117/12.585199
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KEYWORDS
Reflectivity

Sensors

Inverse problems

Optical filters

RGB color model

Data acquisition

Image sensors

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