Describe a grayscale histogram and its use in exposure and equalization
Tests pixel distribution intuition. A strong answer covers intensity bin counts, left or right clustering for exposure errors, and CDF-based redistribution for equalization. Red flag: calling equalization min-max stretching without cumulative mapping.
Tests pixel statistics and contrast enhancement literacy. A strong answer defines a grayscale histogram as a frequency count across intensity bins 0-255. For exposure, it notes under-exposed images cluster left in shadow bins while over-exposed images pile right in highlight bins. For equalization, it explains the algorithm uses the cumulative distribution function to remap intensities so the output spreads uniformly, improving contrast.
Read the original → Wikipedia: Image histogram
- #computer vision
- #image processing
- #histograms
- #contrast enhancement
- #pixel statistics
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.