Clustering with K-Harmonic means applied to colour image quantization

Mariusz Fra̧ckiewicz; Henryk Palus

doi:10.1109/ISSPIT.2008.4775684

Clustering with K-Harmonic means applied to colour image quantization

Katedra Inżynierii i Analizy Eksploracyjnej Danych (RAU/RAU4)

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

11 Cytowania z bazy Scopus

Abstrakt

The main goal of colour quantization methods is a colour reduction with minimum colour error. In this paper were investigated six following colour quantization techniques: the classical median cut, improved median cut, clustering k-means technique in two colour versions (RGB, CIELAB) and also two versions of relative novel technique named k-harmonic means. The comparison presented here was based on testing of ten natural colour images for quantization into 16, 64 and 256 colours. In evaluation process two criteria were used: the mean squared quantization error (MSE) and the average error in the CIELAB colour space (AE). During tests the efficiency of k-harmonic means applied to colour quantization has been proved.

Język oryginału	angielski
Tytuł publikacji goszczącej	Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008
Strony	52-57
Liczba stron	6
Identyfikatory DOI	https://doi.org/10.1109/ISSPIT.2008.4775684
Status publikacji	Opublikowano - 2008
Wydarzenie	8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008 - Sarajevo, Bośnia i Hercegowina Czas trwania: 16 gru 2008 → 19 gru 2008

Seria publikacji

Nazwa	Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008

Konferencja

Konferencja	8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008
Kraj/Terytorium	Bośnia i Hercegowina
Miejscowość	Sarajevo
Okres	16/12/08 → 19/12/08

Obszary tematyczne ASJC Scopus

Systemy informacyjne
Przetwarzanie sygnałów
Inżynieria elektryczna i elektroniczna

Uzyskaj dostęp do dokumentu

10.1109/ISSPIT.2008.4775684

Inne pliki i linki

Link do publikacji w Scopus

Cytowanie

Fra̧ckiewicz, M., & Palus, H. (2008). Clustering with K-Harmonic means applied to colour image quantization. W Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008 (str. 52-57). Artykułu 4775684 (Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008). https://doi.org/10.1109/ISSPIT.2008.4775684

@inproceedings{f22331a22f1343aaa898a771df2b564c,

title = "Clustering with K-Harmonic means applied to colour image quantization",

abstract = "The main goal of colour quantization methods is a colour reduction with minimum colour error. In this paper were investigated six following colour quantization techniques: the classical median cut, improved median cut, clustering k-means technique in two colour versions (RGB, CIELAB) and also two versions of relative novel technique named k-harmonic means. The comparison presented here was based on testing of ten natural colour images for quantization into 16, 64 and 256 colours. In evaluation process two criteria were used: the mean squared quantization error (MSE) and the average error in the CIELAB colour space (AE). During tests the efficiency of k-harmonic means applied to colour quantization has been proved.",

keywords = "Colour image quantization, Clustering, K-means, K-harmonic means, Quality measures",

author = "Mariusz Fr{\c a}ckiewicz and Henryk Palus",

year = "2008",

doi = "10.1109/ISSPIT.2008.4775684",

language = "English",

isbn = "9781424435555",

series = "Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008",

pages = "52--57",

booktitle = "Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008",

note = "8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008 ; Conference date: 16-12-2008 Through 19-12-2008",

}

Fra̧ckiewicz, M & Palus, H 2008, Clustering with K-Harmonic means applied to colour image quantization. w Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008., 4775684, Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, str. 52-57, 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008, Sarajevo, Bośnia i Hercegowina, 16/12/08. https://doi.org/10.1109/ISSPIT.2008.4775684

Clustering with K-Harmonic means applied to colour image quantization. / Fra̧ckiewicz, Mariusz ; Palus, Henryk.
Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008. 2008. str. 52-57 4775684 (Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008).

Wyniki badań: Rozdział w książce/raport/materiał konferencyjny › Wkład w konferencję › recenzja

TY - GEN

T1 - Clustering with K-Harmonic means applied to colour image quantization

AU - Fra̧ckiewicz, Mariusz

AU - Palus, Henryk

PY - 2008

Y1 - 2008

N2 - The main goal of colour quantization methods is a colour reduction with minimum colour error. In this paper were investigated six following colour quantization techniques: the classical median cut, improved median cut, clustering k-means technique in two colour versions (RGB, CIELAB) and also two versions of relative novel technique named k-harmonic means. The comparison presented here was based on testing of ten natural colour images for quantization into 16, 64 and 256 colours. In evaluation process two criteria were used: the mean squared quantization error (MSE) and the average error in the CIELAB colour space (AE). During tests the efficiency of k-harmonic means applied to colour quantization has been proved.

AB - The main goal of colour quantization methods is a colour reduction with minimum colour error. In this paper were investigated six following colour quantization techniques: the classical median cut, improved median cut, clustering k-means technique in two colour versions (RGB, CIELAB) and also two versions of relative novel technique named k-harmonic means. The comparison presented here was based on testing of ten natural colour images for quantization into 16, 64 and 256 colours. In evaluation process two criteria were used: the mean squared quantization error (MSE) and the average error in the CIELAB colour space (AE). During tests the efficiency of k-harmonic means applied to colour quantization has been proved.

KW - Colour image quantization, Clustering, K-means, K-harmonic means, Quality measures

UR - https://www.scopus.com/pages/publications/67649861657

U2 - 10.1109/ISSPIT.2008.4775684

DO - 10.1109/ISSPIT.2008.4775684

M3 - Conference contribution

AN - SCOPUS:67649861657

SN - 9781424435555

T3 - Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008

SP - 52

EP - 57

BT - Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008

T2 - 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008

Y2 - 16 December 2008 through 19 December 2008

ER -

Fra̧ckiewicz M , Palus H. Clustering with K-Harmonic means applied to colour image quantization. W Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008. 2008. str. 52-57. 4775684. (Proceedings of the 8th IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2008). doi: 10.1109/ISSPIT.2008.4775684

Clustering with K-Harmonic means applied to colour image quantization

Abstrakt

Seria publikacji

Konferencja

Obszary tematyczne ASJC Scopus

Uzyskaj dostęp do dokumentu

Inne pliki i linki

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Cytowanie