9+ KL Divergence: Color Histogram Analysis & Comparison

kl divergence color histogram

9+ KL Divergence: Color Histogram Analysis & Comparison

The distinction between two coloration distributions may be measured utilizing a statistical distance metric primarily based on info idea. One distribution typically represents a reference or goal coloration palette, whereas the opposite represents the colour composition of a picture or a area inside a picture. For instance, this method might evaluate the colour palette of a product photograph to a standardized model coloration information. The distributions themselves are sometimes represented as histograms, which divide the colour area into discrete bins and depend the occurrences of pixels falling inside every bin.

This strategy gives a quantitative technique to assess coloration similarity and distinction, enabling functions in picture retrieval, content-based picture indexing, and high quality management. By quantifying the informational discrepancy between coloration distributions, it provides a extra nuanced understanding than easier metrics like Euclidean distance in coloration area. This technique has develop into more and more related with the expansion of digital picture processing and the necessity for sturdy coloration evaluation methods.

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