A Reinforcement-Learning Approach to Color Quantization

C.-H. Chou, M.-C. Su, F. Chang, and E. Lai (Taiwan)


color quantization, reinforcement learning, neuro-fuzzy systems, classifier systems


: In this paper, a reinforcement-learning approach is proposed to color image quantization. Fuzzy rules, which select appropriate parameters for the adaptive clustering algorithm applied to color quantization, are built through the reinforcement learning. Experiment examples are tested to demonstrate the performance of the proposed system.

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