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3 May 2023 Fast image quantization with efficient color clustering (Retraction Notice)
Yingying Liu
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Proceedings Volume 12644, International Workshop on Frontiers of Graphics and Image Processing (FGIP 2022); 1264404 (2023) https://doi.org/10.1117/12.2668985
Event: International Workshop on Frontiers of Graphics and Image Processing (FGIP 2022), 2022, Beijing, China
Abstract
This paper, originally published on 3 May 2023, was retracted from the SPIE Digital Library on 18 March 2024 upon verification that it plagiarized significant content from the two papers below without appropriate citation: (1) Celebi, “Improving the performance of k-means for color quantization,” published in Imaging and Vision Computing, Vol. 29, No. 4 (March 2011): https://www.sciencedirect.com/science/article/abs/pii/S0262885610001411 (2) Huang, “An Efficient Palette Generation Method for Color Image Quantization,” published in Applied Sciences, 2021, 11: https://www.mdpi.com/2076-3417/11/3/1043
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Yingying Liu "Fast image quantization with efficient color clustering (Retraction Notice)", Proc. SPIE 12644, International Workshop on Frontiers of Graphics and Image Processing (FGIP 2022), 1264404 (3 May 2023); https://doi.org/10.1117/12.2668985
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KEYWORDS
Quantization
Evolutionary algorithms
Image processing
RGB color model
Fuzzy logic
Algorithm development
Artificial neural networks
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