Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution

الملخص EN

In recent years, some researchers considered image color quantization as a single-objective problem and applied heuristic algorithms to solve it.

This paper establishes a multiobjective image color quantization model with intracluster distance and intercluster separation as its objectives.

Inspired by a multipopulation idea, a multiobjective image color quantization algorithm based on self-adaptive hybrid differential evolution (MoDE-CIQ) is then proposed to solve this model.

Two numerical experiments on four common test images are conducted to analyze the effectiveness and competitiveness of the multiobjective model and the proposed algorithm.