We present a model for calculating the Spatial Frequency Response (SFR) for Bayer pattern color detectors. The model
is based on the color detector response to B/W scenes. When a Bayer color detector is compared to a B/W detector, SFR
difference results from the interpolation process. This process exists only in the Bayer pattern detectors. In this work we
ascribe the MTF and the spurious response to the interpolation process.
The model may be applied to any linear interpolation. Although the interpolation is linear, it is not Shift Invariant
(SI). Therefore, calculating the interpolation MTF is not a trivial task. Furthermore, the interpolation creates a spurious
response. In order to calculate the interpolation SFR, we introduce a separable constraint (for x and y directions) by using
a scene that varies only on one axis and is fixed on the other. We further assume integration in the direction of the fixed
axis. By using these two assumptions, we have been able to separate the response into two axes and calculate the SFR.
For distant scenes, colors saturation decreases, the colors are less visible and mostly grey colors are sensed. In these
cases the Johnson Criterion can be roughly applied. In order to apply the Johnson Criterion it is required to know the
MTF of the sensing system. The sensing system MTF includes the interpolation MTF. We show that the interpolation
process degrades the system performance compared to B/W sensor. Another application of the model is in comparing
different interpolation algorithms.
Conference Committee Involvement (7)
Infrared Technology and Applications XLIX
30 April 2023 | Orlando, Florida, United States
Infrared Technology and Applications XLVIII
3 April 2022 | Orlando, Florida, United States
Infrared Technology and Applications XLVII
12 April 2021 | Online Only, Florida, United States
Infrared Technology and Applications XLVI
27 April 2020 | Online Only, California, United States
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