1 October 1999 Improved quantization methods in color error diffusion
Author Affiliations +
Color error diffusion can be classified into two types, namely: vector error diffusion and scalar error diffusion, according to the underlying quantization methods. Compared to scalar error diffusion, vector error diffusion is typically superior in overall image quality. However, it requires significantly more computation. In addition, it may occasionally introduce boundary artifacts. A color band, at a width of a few pixels to tens of pixels, may appear along the edges. In this paper, we propose two improvements in quantization for color error diffusion. First, we introduce an algorithm, which we call semivector quantization, to reduce the computational complexity of vector error diffusion. Second, we present a simple yet effective method for reducing boundary artifacts.
Zhigang Fan and Steven J. Harrington "Improved quantization methods in color error diffusion," Journal of Electronic Imaging 8(4), (1 October 1999). https://doi.org/10.1117/1.482711
Published: 1 October 1999
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Quantization

Diffusion

Error analysis

Image quality

Distance measurement

Switches

Halftones

RELATED CONTENT

Multilevel screen design using direct binary search
Proceedings of SPIE (December 28 2001)
Semi-vector error diffusion for color images
Proceedings of SPIE (December 22 1998)
Tone-dependent error diffusion
Proceedings of SPIE (December 28 2001)

Back to Top