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| (a) | (b) | (c) |
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| (d) | (e) | (f) |
| Figure 3: Decomposition of (a) a color image into (b) luminance and (c) chrominance as defined in eq. 5. (d) A CFA image with a single chromatic sensitivity per spatial location according to the Bayer CFA arrangement (the image appears greenish because of the double number of green pixels in the CFA). When subtracting luminance (b) from the CFA image (d), the resulting image is (e), which corresponds to a multiplexed version of sub-sampled chrominance. Selecting pixels in front of each color sample of the Bayer CFA (i.e. de-multiplexing opponent colors) results in image (f). Also, sub-sampling image (c) results exactly in image (f). Thus, image (c) can be recovered from (f) using interpolation. | ||