Lines Matching refs:image
15 import its.image
27 and a high analog gain to ensure the captured image is noisy.
30 Also captures an image with low gain and NR off, and uses the variance
59 its.image.write_image(
60 its.image.convert_capture_to_rgb_image(cap),
62 planes = its.image.convert_capture_to_yuv_planes(cap)
65 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
66 ref_variance.append(its.image.compute_image_variances(tile)[0])
76 its.image.write_image(
77 its.image.convert_capture_to_rgb_image(cap),
79 planes = its.image.convert_capture_to_yuv_planes(cap)
82 tile = its.image.get_image_patch(img, 0.45, 0.45, 0.1, 0.1)
83 variance = its.image.compute_image_variances(tile)[0]
93 # Check that the variance of the NR=0 image is much higher than for the
