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Table 2 Comparison of objective evaluation: CPSNR

From: Color interpolation algorithm for an RWB color filter array including double-exposed white channel

Image No. CM1 CM2 CM3 CM4 PM
Captured img 1 33.714 35.178 36.533 38.175 40.375
2 32.685 34.580 35.064 37.491 40.175
3 35.769 37.226 37.502 39.528 41.016
4 29.218 31.417 32.153 37.481 37.414
5 33.483 34.825 35.265 37.959 40.684
Kodak test img 1 29.936 31.758 32.808 35.700 38.715
2 36.032 36.771 38.724 40.522 41.661
3 36.642 37.908 38.047 40.004 40.191
4 36.779 37.630 39.276 40.312 42.234
5 30.500 33.030 33.986 35.877 38.737
6 31.111 33.064 33.448 35.060 38.433
7 36.151 37.751 39.922 40.267 42.658
8 27.638 29.162 31.956 34.783 36.001
9 35.915 37.036 37.353 39.148 41.917
10 35.887 37.129 39.419 40.565 42.869
11 32.835 34.784 35.867 36.112 39.333
12 35.843 36.909 38.766 41.579 43.724
13 27.956 30.616 29.897 32.328 35.165
14 32.743 34.529 35.092 36.485 39.065
15 34.754 35.374 37.196 39.085 41.519
16 34.109 35.893 35.877 38.302 40.759
17 35.312 37.017 38.819 40.377 43.665
18 32.058 34.472 34.606 37.232 40.675
19 31.790 32.910 34.650 37.244 40.070
20 34.083 36.609 36.251 39.276 42.327
Avg. 33.318 34.943 35.939 38.032 40.335
  1. Boldface indicates the best results in each metric among PM and CMs