![]() Since RGB images in MATLAB can be of type uint8, uint16, orĭouble, three possible color cube definitions exist. The RGB color cube is a three-dimensional array of all of theĬolors that are defined for a particular data type. Supports two quantization methods: uniform quantization andĪn important term in discussions of image quantization is RGB colorĬube. Quantization as part of its color reduction algorithm. Reducing the number of colors in an image involves See Reduce Colors Using Dithering for a description of dithering and how to enable Note thatĭifferent methods work better for different images. Range of colors in the input image, and whether or not you use dithering. The quality of the resulting image depends on the approximation method you use, the ![]() The following methods for approximating the colors in the original image:Ĭolormap mapping (described in Colormap Mapping) Image, reducing the number of colors in the process. This function converts a truecolor image to an indexed To reduce the number of colors in an image, use the rgb2ind function. Reduce Colors of Truecolor Image Using Color Approximation This topic elaborates on methods to reduce the number of colors in an image. Indexed image with more than 256 colors (using imwrite) to aįormat that does not support more than 256 colors, you will receive an error. Most image file formats limit indexed images to 256 colors. ![]() Storage size of the image much larger (each pixel uses 64 bits). Generally uses an array of data type double instead, making the If an indexed image has more than 256 colors, MATLAB cannot store the image data in a uint8 array, but On some platforms, colormaps cannot exceed 256 entries. To be dithered or mapped and, therefore, might not display well. On systems with 8-bit display, indexed images with more than 256 colors will need ![]()
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