The distinction between two colour distributions will be measured utilizing a statistical distance metric based mostly on info principle. One distribution typically represents a reference or goal colour palette, whereas the opposite represents the colour composition of a picture or a area inside a picture. For instance, this method may examine the colour palette of a product picture to a standardized model colour information. The distributions themselves are sometimes represented as histograms, which divide the colour house into discrete bins and rely the occurrences of pixels falling inside every bin.
This method supplies a quantitative method to assess colour similarity and distinction, enabling purposes in picture retrieval, content-based picture indexing, and high quality management. By quantifying the informational discrepancy between colour distributions, it provides a extra nuanced understanding than easier metrics like Euclidean distance in colour house. This methodology has change into more and more related with the expansion of digital picture processing and the necessity for sturdy colour evaluation methods.
