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In the last video, we talked about the beginnings of JPEG, so what do we do at the beginning of the process to start preparing for the discrete cosine transform, which is really how the lossy compression happens within a JPEG. We start with our RGB image, we convert that into YCbCr color space, which separates illuminance and chrominance. And then we can down sample the chrominance if we want, and we can kind of get away with quite a bit of down sampling there that people wonamp;#39;t be able to see. The next step is the discrete cosine transform. Before we start talking about how images are compressed using the discrete cosine transform, itamp;#39;s much better just to start with a simple example of what a discrete cosine transform is and how it works. A cosine function, for anyone who isnamp;#39;t familiar with it, is a function that goes between 1 and -1. What we tend to do on this x-axis is go from 0, to pi, to 2*pi. This is in radians, those of you familiar with degrees, this i
