Comparison of Various Machine Learning Algorithms on Color Quantization Techniques
Akshita Kapur, Ajit Singh, Anshul Anand, Dhruv Vaidh, Gunik Luthra, Mihir Gupta, P Boominathan · 2022
Color image quantization is used to lower the range of colors of an image in an effort to decrease the size of the image and trying to keep the quantized image visibly similar to the input image. Color quantization is performed to reduce the color information while trying to maintain the quality. The technique is used in various fields like computer graphics and image processing. In this paper, comparison of various algorithms is carried out to calculate the mean absolute error and mean squared error and determine the accuracy for each algorithm. The algorithms used in this paper are K-means, median cut, Lloyd max and fast octree.