基于ANFIS的图像预测编码

Predictive Coding Based on ANFIS

提出了一种利用神经模糊推理系统(ANFIS)构建预测器的图像压缩预测编码算法。该算法以模糊系统为平台,利用自学习算法训练建立推理规则,采用并行自适应遗传算法进化调整系统内部参数,实现了完全智能的非线性自适应预测编码。通过仿真试验,并与传统预测编码方法、神经网络预测编码方法进行比较,结果证明该算法具有预测精度高、恢复图像效果好、编码时间较短、内部参数调整智能化等突出优点。

This paper presents a predictive coding model based on adaptive neuro-fuzzy inference system (ANFIS).The system parameters of the model are adjusted by delaminating-adaptation genetic algorithm.After simulated and com- pared with other predictive coding models,the model shows some standout excellences,such as higher precision of pre- diction,good quality of reconstruction pictures and intelligence of adjusting system parameters.