Color Image Quantization Scheme Using DBSCAN with K-Means Algorithm

Author(s):  
Kumar Rahul ◽  
Rohit Agrawal ◽  
Arup Kumar Pal
2019 ◽  
Vol 78 (24) ◽  
pp. 35537-35558 ◽  
Author(s):  
Jun-Chou Chuang ◽  
Yu-Chen Hu ◽  
Chia-Mei Chen ◽  
Yu-Hsiu Lin ◽  
Yu Chen

2020 ◽  
Vol 79 (43-44) ◽  
pp. 32151-32168
Author(s):  
Mengyi Lei ◽  
Yongquan Zhou ◽  
Qifang Luo

1995 ◽  
Vol 43 (3) ◽  
pp. 293-303 ◽  
Author(s):  
Tsann-Shyong Liu ◽  
Long-Wen Chang

2012 ◽  
Vol 20 (2) ◽  
Author(s):  
Y. Hu ◽  
W. Chen ◽  
C. Lo ◽  
C. Wu

AbstractIn this paper we proposed an improved colour image quantization scheme based on predictive coding. Since the neighbouring colour pixels are quite similar in most colour images, the similarity among the encoded pixels is exploited. In the proposed scheme the encoded distinct neighbouring colours are collected to form a smaller state-palette. If the closest colour in the state-palette is quite similar to the current encoding colour pixel, the index of the closest colour in the state-palette is recorded. Otherwise, the closest colour in original colour palette for the current encoding colour pixel is searched and the corresponding index is recorded. The experimental results show that the proposed method achieves good image qualities while requiring much lower bit rates for colour image compression.


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