The article explains the complexities of processing an unedited photo taken by a camera, using a Christmas tree as an example. Initially, the image shows a wide range of ADC values, from 2110 to 13600. By normalizing these values, the author improves the image, but the colors still appear flat because a camera sensor measures brightness rather than color. The grid of red, green, and blue filters on the sensor means each pixel only captures one-third of its potential RGB color. To address this, the author averages the RGB values of each pixel with its neighbors, enhancing color but also revealing the limitations of display technology. The article delves into how monitors, even OLEDs, have a limited dynamic range compared to human vision. This leads to issues where dark areas appear overly dark due to the non-linear nature of human brightness perception. The author highlights that quantizing brightness for storage often wastes memory on nearly identical shades of white, prompting color spaces to allocate more data to darker tones. To correct the darkness in the image, a non-linear curve is applied to brighten dark areas. However, factors such as the camera’s sensitivity to green light complicate matters, necessitating white balancing to equalize the brightness across color channels. Ultimately, the author illustrates the extensive work involved in transforming raw data into a polished image. The final version of the photo, while visually appealing, is the result of careful adjustments rather than an unaltered capture. The conclusion emphasizes that editing a photo is not about creating a fake representation; it's a necessary step to accurately convey the captured data and replicate human perception within the constraints of current display technologies.