title: Multiobjective Image Color Quantization Algorithm Based on Self-Adaptive Hybrid Differential Evolution.
abstract: 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.
authors.affiliation: School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China.
authors.forename: Zhongbo
authors.identifier: 0000-0002-3685-2753
authors.initials: Z
authors.lastname: Hu
authors.affiliation: School of Information and Mathematics, Yangtze University, Jingzhou, Hubei 434023, China.
authors.forename: Qinghua
authors.identifier: 0000-0001-6613-3883
authors.initials: Q
authors.lastname: Su
authors.affiliation: School of Software, East China Jiaotong University, Nanchang 330013, China.
authors.forename: Xuewen
authors.initials: X
authors.lastname: Xia
mesh_terms: D000465:Algorithms; D005075:Biological Evolution; D003116:Color; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008962:Models, Theoretical; D010363:Pattern Recognition, Automated