Title :
Edge-Directed Error Diffusion Halftoning
Author_Institution :
Dept. of Comput. Sci. & Electr. Eng., West Virginia Univ.
Abstract :
In this letter, we propose two simple extensions of the existing error diffusion (ED) halftoning technique: one stops the diffusion at edge pixels, and the other tunes the support of the diffusion kernel to match the local edge orientation. Experimental results are used to show that the proposed edge-directed ED schemes achieve noticeably better performance over existing ED with edge enhancement for a certain class of gray-scale images
Keywords :
edge detection; image enhancement; image matching; edge enhancement; edge-directed error diffusion halftoning technique; gray-scale image; Computational efficiency; Data mining; Degradation; Filters; Gray-scale; Image edge detection; Kernel; Quantization; Shadow mapping; Visual perception; Adaptive halftoning; edge enhancement; edge location; error diffusion; shadowing artifact;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.879465
