1# Copyright 2014 The Android Open Source Project
2#
3# Licensed under the Apache License, Version 2.0 (the "License");
4# you may not use this file except in compliance with the License.
5# You may obtain a copy of the License at
6#
7#      http://www.apache.org/licenses/LICENSE-2.0
8#
9# Unless required by applicable law or agreed to in writing, software
10# distributed under the License is distributed on an "AS IS" BASIS,
11# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
12# See the License for the specific language governing permissions and
13# limitations under the License.
14
15import its.device
16import its.caps
17import its.objects
18import its.image
19import os.path
20from matplotlib import pylab
21import matplotlib.pyplot
22
23GR_PLANE = 1  # GR plane index in RGGB data
24IMG_STATS_GRID = 9  # find used to find the center 11.11%
25NAME = os.path.basename(__file__).split(".")[0]
26NUM_STEPS = 5
27VAR_THRESH = 1.01  # each shot must be 1% noisier than previous
28
29
30def main():
31    """Capture a set of raw images with increasing gains and measure the noise.
32    """
33
34    with its.device.ItsSession() as cam:
35
36        props = cam.get_camera_properties()
37        its.caps.skip_unless(its.caps.raw16(props) and
38                             its.caps.manual_sensor(props) and
39                             its.caps.read_3a(props) and
40                             its.caps.per_frame_control(props))
41        debug = its.caps.debug_mode()
42
43        # Expose for the scene with min sensitivity
44        sens_min, _ = props["android.sensor.info.sensitivityRange"]
45        # Digital gains might not be visible on RAW data
46        sens_max = props["android.sensor.maxAnalogSensitivity"]
47        sens_step = (sens_max - sens_min) / NUM_STEPS
48        s_ae, e_ae, _, _, f_dist = cam.do_3a(get_results=True)
49        s_e_prod = s_ae * e_ae
50
51        variances = []
52        for s in range(sens_min, sens_max, sens_step):
53
54            e = int(s_e_prod / float(s))
55            req = its.objects.manual_capture_request(s, e, f_dist)
56
57            # Capture raw in debug mode, rawStats otherwise
58            # Measure the variance. Each shot should be noisier than the
59            # previous shot (as the gain is increasing).
60            if debug:
61                cap = cam.do_capture(req, cam.CAP_RAW)
62                gr = its.image.convert_capture_to_planes(cap, props)[1]
63                tile = its.image.get_image_patch(gr, 0.445, 0.445, 0.11, 0.11)
64                var = its.image.compute_image_variances(tile)[0]
65                img = its.image.convert_capture_to_rgb_image(cap, props=props)
66                its.image.write_image(img, "%s_s=%05d_var=%f.jpg" %
67                                      (NAME, s, var))
68            else:
69                # Get the active array width and height.
70                aax = props["android.sensor.info.activeArraySize"]["left"]
71                aay = props["android.sensor.info.activeArraySize"]["top"]
72                aaw = props["android.sensor.info.activeArraySize"]["right"]-aax
73                aah = props["android.sensor.info.activeArraySize"]["bottom"]-aay
74                white_level = float(props["android.sensor.info.whiteLevel"])
75                cap = cam.do_capture(req,
76                                     {"format": "rawStats",
77                                      "gridWidth": aaw/IMG_STATS_GRID,
78                                      "gridHeight": aah/IMG_STATS_GRID})
79                _, var_image = its.image.unpack_rawstats_capture(cap)
80                cfa_idxs = its.image.get_canonical_cfa_order(props)
81                var = var_image[IMG_STATS_GRID/2, IMG_STATS_GRID/2,
82                                cfa_idxs[GR_PLANE]]/white_level**2
83
84            variances.append(var)
85            print "s=%d, e=%d, var=%e" % (s, e, var)
86
87        x = range(len(variances))
88        pylab.plot(x, variances, "-ro")
89        pylab.xticks(x)
90        pylab.xlabel("Setting Combination")
91        pylab.ylabel("Image Center Patch Variance")
92        matplotlib.pyplot.savefig("%s_variances.png" % NAME)
93
94        # Test that each shot is noisier than the previous one.
95        for i in range(len(variances) - 1):
96            assert variances[i] < variances[i+1] / VAR_THRESH
97
98if __name__ == "__main__":
99    main()
100