Perceptually tuned generation of grayscale fonts

Legibility of Condensed Perceptually-Tuned Grayscale Fonts

We analyze the quality of condensed text on LCD displays, generated with unhinted and hinted bilevel characters, with traditional anti-aliased and with perceptually-tuned grayscale characters. Hinted bi-level characters and perceptually-tuned grayscale characters improve the quality of displayed small size characters (8pt, 6pt) up to a line condensation factor of 80%. At higher condensation fac...

Legibility of perceptually-tuned grayscale fonts

Perceptually-tuned grayscale fonts are generated from character outline descriptions by applying to them a set of modifications specifically conceived for strengthening thin character parts, obtaining well-contrasted bars and preserving important relationships between character shape parts. The present study aims at comparing the legibility of perceptually-tuned grayscale and bilevel display fo...

Perceptually-Tuned Grayscale Characters Based on Parametrisable Component Fonts

Our component-based parametrisable font system is a newly developed font description and reproduction technology. It incorporates for each basic character shape a software method responsible for the synthesis of an instance of that character. A given font is synthesized by providing appropriate font parameters to these character synthesis methods. Numerous concrete fonts can be derived by simpl...

Multiwavelet Image Watermarking Using Perceptually Tuned Model

In this paper, we propose a novel watermarking method that has robust and transparent properties by perceptually tuned characteristics and stationary Generalized Gaussian model based on Multiwavelet transform domain. The proposed method embeds watermark signals at the texture and edge regions using the perceptual stochastic model with content adaptivenes. This method adopts stationary Generaliz...

Perceptually Realistic Flower Generation