An efficient color quantization using color histogram
Sarmad Omar Abter, Nada A.Z. Abdullah · 2017
The color reduction or color quantization is needed for many reasons such as, to compress the high-resolution images which take a lot of the disk space and to easily view the images on the screens that do not support a large number of color ranges (low-resolution Screens). Color quantization generates a new image, which has less number of colors, but the difference between the Quantized Image and the original image is small. In this work, a quantization algorithm is proposed that based on the color histogram for true color images. Also, the images can be quantized to a different number of colors. The algorithm is applied to many images of (CorelDB) dataset, the results show that the algorithm is high speed due to the low computational cost and, the quality of quantized images is very good.