The paper presents a method for color quantization (CQ)which uses visual contrast for determining an image-dependent colorpalette. The proposed method selects image regions in a hierarchicalway, according to the visual importance of their colors with respect to thewhole image. The method is automatic, image dependent and requires amoderate computational effort. Preliminary results show that the qual-ity of quantized images, measured in terms of Mean Square Error, ColorLoss and SSIM, is competitive with some existing CQ approaches.
Perceptual-based color quantization / Bruni, Vittoria; Ramella, Giuliana; Vitulano, Domenico. - STAMPA. - 10484:(2017), pp. 671-681. (Intervento presentato al convegno 19th International Conference on Image Analysis and Processing, ICIAP 2017 tenutosi a ita nel 2017) [10.1007/978-3-319-68560-1_60].
Perceptual-based color quantization
Bruni, Vittoria;Vitulano, Domenico
2017
Abstract
The paper presents a method for color quantization (CQ)which uses visual contrast for determining an image-dependent colorpalette. The proposed method selects image regions in a hierarchicalway, according to the visual importance of their colors with respect to thewhole image. The method is automatic, image dependent and requires amoderate computational effort. Preliminary results show that the qual-ity of quantized images, measured in terms of Mean Square Error, ColorLoss and SSIM, is competitive with some existing CQ approaches.| File | Dimensione | Formato | |
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