| Image 1 |
The image below (Image 2) shows the histogram of the darker image as it is captured by the camera's sensor. For this linear image, most of the tones are squashed strongly to the left. This means that most of the levels available to represent tones are devoted to the brightest part of the image, while the darkest parts - the shadows - at the far left are actually represented by very few levels. This is close to what the image looked like as it was captured and before the camera's processor got to work on it. This has a very important impliction for noise which will be discovered in the next part of the course.
| Image 2 |
| Image 3 |
The next part of the exercise required a change to the linear curve of the darker image to bring it back close as possible to the original 'normal' looking version. The image below shows the re-edited curve of the darker image which demonsrated that the biggest effect has been on the darkest parts of the image. They have been lightened by what looks like several stops.
| Image 4 |
Although I found this exercise to be initially a bit frustrating due to the incorrect information in the notes, it was, after some trial and error, very satisfying. I persevered with the software and after finding the linear curve and working through the notes I was able to produce what was required. It has been a useful exercise to understand how the camera sees an image and how the sensor captures the image and linear curve. Changing the curve was useful in that I was able to see what effect the highlights, brightness, midtond contrast and shadows had on the curve and ultimately on the image.
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