The main job of a camera sensor is to count photons of light. Okay, I might be stretching the definition of algebra slightly, but hey, solve for X, solve for apples… same difference! Don’t be afraid of the big math words, you’ve got this. Not only that, you easily understand all the math you need to comprehend what people are talking about when discussing linear data. Let’s make it really hard! What if you eat two apples a day for 7 days?Ĭongratulations, you’ve just done algebra. Here’s another one: If you eat an apple a day, how many apples will you eat in 7 days? Here’s a real-world example: If you normally buy two apples, and your spouse asks you to buy twice as many apples this time, how many apples do you buy?
It’s not that hard or scary folks, it’s quite simple. Fear not, I assure you, you’re up to the task. I saw a meme recently on Facebook, “Come on people… when was the last time you actually used algebra in your real daily life?" So what does this mean: the data is linear? If you can shop for fruit, you can do basic algebra.
It’s important that many of our image enhancements take place while the data is still linear, and it’s really important for the scientific community that the data stays linear to be of many kinds (but not all kinds) of scientific value. Unmanipulated data from a CCD or CMOS camera (this includes DSLRs) are typically linear (or nearly linear) in nature. Linearity - a measure of how a detector accumulates light - is important for getting the most from your astro-images, and it's not nearly as complicated as it sounds.
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