Abstract

Texture plays an important role in image features, in both display and perception of halftone images. We propose a quantitative measure for the occurrence of textures in binary images. This metric considers the fact that textures may be disturbed by missing or spurious pixels and that texels may overlap. Moreover, the texture may be black on white or white on black, which is also considered in the texture metric. We analyze various binary images with different textural characteristics with respect to different textures, to demonstrate the properties of the texture metric.

© 1996 Optical Society of America

Control of texture in image halftoning

Thomas Scheermesser and Olof Bryngdahl
J. Opt. Soc. Am. A 13(8) 1645-1652 (1996)

Spatially dependent texture analysis and control in digital halftoning

Thomas Scheermesser and Olof Bryngdahl
J. Opt. Soc. Am. A 14(4) 827-835 (1997)

Objective quality measures for halftoned images

Fredrik Nilsson
J. Opt. Soc. Am. A 16(9) 2151-2162 (1999)

Multiresolution, error-convergence halftone algorithm

Eli Peli
J. Opt. Soc. Am. A 8(4) 625-636 (1991)

Minimizing stochastic moiré in frequency-modulated halftones by means of green-noise masks

Daniel L. Lau, Arif M. Khan, and Gonzalo R. Arce
J. Opt. Soc. Am. A 19(11) 2203-2217 (2002)