Digital Image Processing
Color image quantization for frame buffer display
SIGGRAPH '82 Proceedings of the 9th annual conference on Computer graphics and interactive techniques
Engineering Applications of Artificial Intelligence
Sample-size adaptive self-organization map for color images quantization
Pattern Recognition Letters
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
New adaptive color quantization method based on self-organizing maps
IEEE Transactions on Neural Networks
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Studies on color quantization have indicated that its applications range from the relaxation of displaying hardware constraints in early years to a modern usage of facilitating content-based image retrieval tasks. Among many alternatives, approaches based on neural network models are generally accepted to be very effective in color quantization. However, the inefficiency prevents their usefulness from practical usage. In view of this, we thus propose to incorporate a growing quadtree structure to the self-organizing map (GQSOM) technique in this work. Specifically, the strategy of inheriting from parent neurons hierarchically facilitates a much more efficient and flexible learning process. Both theoretical and empirical studies show that our approach is adaptive in determining an appropriate number of quantized colors. Moreover, the efficiency is significantly improved without compromise of the effectiveness.