Efficient, Edge-Aware, Combined Color Quantization and Dithering

Improvements for Color Dithering

This paper discusses possible extensions of error-diffusion dithering algorithms for color devices that give a more accurate reproduction of colors than previous algorithms. The main difference of the method presented here and others is that usually color channels are regarded separately, whereas we look at them together as one color value that is used to select the closest output color. This a...

Dithering and Quantization of audio and image

Color Image Quantization and Dithering Method Based on Human Visual System Characteristics

Recently, the use of color image data has been growing fast in the area of image processing.1–7 To express natural color in conventional low-cost color devices, the color image should be quantized for monitoring and dithered for printing. A video monitor displays a color image by modulating the intensity of three primary colors (red, green, and blue) at each pixel of the color image. In a digit...

Adaptive methods for dithering color images

Most color image printing and display devices do not have the capability of reproducing true color images. A common remedy is the use of dithering techniques that take advantage of the lower sensitivity of the eye to spatial resolution and exchange higher color resolution with lower spatial resolution. An adaptive error diffusion method for color images is presented. The error diffusion filter ...

Color Dithering with n-Best Algorithm

One of the interesting problems of digital image processing is how much the color table can be reduced without any detectable difference in the quality of an image. The process of reducing the color information is known as quantizing. Often visible artifacts, such as false contours, appear in a quantized image. Digital halftoning or spatial dithering is a process which tries to reduce the visib...