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Step One: A Recap on ScalesA brief recap on Scales from lesson 7, Making a Digital Negative:Again, Digital images have many values of grays from black to white within them. An image containing all the values would have a full scale. Instead of thinking of a scale with the numbers 0 - 255 like a computer, we can think of the values in something more familiar: percentages. The percentage represents the amount of black. 100% is total black, 50% middle gray, 0% is white of course. The image below illustrates a scale in 2% increments with 100% 50% and 0% marked.
Your monitor should have the right contrast and brightness settings to be able to see each 2% increment distinctly. In our computer and on our monitor, black is at 100% and white falls at 0%. If we were to print this exactly as it is onto a transparency, and use it as a negative for gum printing, we would loose a great portion of our scale in our Gum Print. Why? This is because Gum printing is a very high contrast, short-scale photographic process. If we were to print the above scale in Gum, we would inevitably, depending on exposure time, light source, pigments used, development and a host of other variables, end up with something that looks more or less like the scale below:
(Remember, black on the negative will block out light and cause the emulsion to wash off during development, revealing the paper below, this is why 100% is now white in this scale and 0% black.) In the above Image, we see that the high contrast of the gum caused us to loose about 2/3rds of the information on our negative and in our image! Values in our negative above 70% are washed to white (This is photographic detail literally washing off into the sink!) and below about 35% is exposed completely to a solid black. Below is a simulated example of an image loosing all of that detail in the printing process.
To combat this problem we COMPRESS that digital image scale of 0% to 100% into a range that will keep most of our image from washing off into the sink.This is a preview of what we will be doing to the digital image's Scale:(these numbers are approximate...I just made them up) Explanation: from left to right
Of course, I started with this idea 2 years ago, and found it works well in theory and in practice to a point, but unforeseen factors do come into play altering the expected results. For example, compressing the values actually does cause a loss of values. In this example, you are taking 256 individual shades of gray and squashing them into only about 90 values of gray. This causes you to still loose 2/3 of the image values, however the loss is evenly distributed rather then loosing all the high tones or low tones. I have developed ways of dealing with those factors which have proven successful. And so we shall continue on... |
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