![]() ![]() The next section sets display mode options. The next section, titled " 5529:4029", is showing the values for the pixels under your cursor. The next section, had you selected a region in the image, would show the min, max, average, and RMS deviation for that region, rather than the entire image. Incidentally, the title of the section is describing the width (6016) and height (4016) of your image. The green, blue, and green2 SNRs are similar (0.52 – 0.54). In your example, a typical red pixel varied from the mean (of 1176) by 2065. In your example, the average red pixels recorded less light than the blue pixels, and the green pixels recorded more than both red and blue. In your example, of means your camera recorded "pure black" - that is, as dark as your camera can sense.Īverage value. The next section, titled " Image 6016x4016", is showing per-color-channel (red, green, blue, and 2nd green (as described above)) information over the entire image: The first section of the screenshot is showing some metadata from the image's EXIF information (camera model, lens, focal length, exposure settings, etc.). ![]() So now, we can understand what RawDigger is showing. It is calculated as the square root of the mean distance from the sample set's average value - the root-mean-square deviation. Standard deviation is a measure of how spread out the individual samples in a dataset are, compared to the mean, and is denoted by □ (the greek letter "sigma"). The signal-to-noise ratio (SNR) of a digital image (or region of an image) is defined as the average value of the pixels in the image (region) divided by the standard deviation of the pixel values.
0 Comments
Leave a Reply. |