Computational experiment of error diffusion dithering for depth reduction in images
DOI:
https://doi.org/10.20873/uft.2675-3588.2020.v1n2.p9-13Keywords:
Error Diffusion Dithering, Processing Image, Depth ReductionAbstract
The halftone technique is a process that employs patterns formed by black and white dots to reduce the number of gray levels in an image. Due to the tendency of the human visual system to soften the distinction between points with different shades, the patterns of black and white dots produce a visual effect as if the image were composed of shades of gray and dark. This technique is quite old and is widely used in printing images in newspapers and magazines, in which only black (ink) and white (paper) levels are needed. There are several methods for generating halftone images. In this article we explore dithering with error diffusion and an analysis of different halftone techniques is presented using error diffusion to change the depth of the image. The results showed that the depth of the image changes 1/8 per channel, this halftone technique can be used to reduce an image weight, losing information but achieving good results, depending on the context.
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Copyright (c) 2020 Leonardo Rezende Costa
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