Octree Quantization
Octree Quantization is a color quantization method that uses an octree data structure to hierarchically partition the RGB color space, enabling efficient clustering and representative color selection through recursive subdivision of color cubes based on pixel distribution.
8
Publications
147
Citations
13
Authors
6
Institutions
Publications per year
2017–2026
0
Parents
8
1–5 of 8
13
2
h-index
2
h-index
1
h-index
1
h-index
1 publications · 32 citations
1
h-index
1–5 of 13
6
University of Southern California
Los Angeles, United States
2 h-index
4 publications
42 citations
Engineering Systems (United States)
Omaha, United States
1 h-index
2 publications
20 citations
University of Houston
Houston, United States
1 h-index
3 publications
33 citations

Chosun University
Gwangju, South Korea
1 h-index
2 publications
44 citations
Tianjin University
Tianjin, China
1 h-index
1 publications
10 citations

Xidian University
Xi'an, China
1 h-index
2 publications
22 citations
Pusan National University
Busan, South Korea
1 publications
10 citations
Silla University
Busan, South Korea
1 publications
10 citations
1–8 of 6
1 publications · 11 citations
1
h-index
Repository · 1 publications · 32 citations
1
h-index
1 publications · 40 citations
1
h-index
1 publications · 10 citations
1 publications · 10 citations
1–5