A fuzzy colour quantizer for renderers
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Tarih
1998
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Elsevier Science Bv
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
This paper presents a new colour quantization method for ray tracing. Normally, quantization is carried out by generating statistics about the colours present in the original image. Then a colour look-up table is created which contains the colours available in the quantized image. Original quantized values are mapped into the nearest colour entries in the look-up table. Although the execution time is quick using this method (histogram analysis) the cost is that the image quality is poor. The fuzzy c-means clustering algorithm (FCM) is an alternative solution to ameliorate the degradation in image quality. However, FCM introduces a considerable amount of computational burden and the process is time-consuming. This paper shows that the dominant peaks of histograms yield the fuzzy centroids needed for the first estimate in FCM. This reduces the computational burden imposed by FCM and improves the overall execution time. (C) 1998 Elsevier Science B.V. All rights reserved.
Açıklama
Anahtar Kelimeler
colour quantization, colour reduction, clustering, FCM, colour map
Kaynak
Displays
WoS Q Değeri
Q2
Scopus Q Değeri
Q2
Cilt
19
Sayı
2
Künye
closedAccess
