Abstract:
On the basis of multi-wavelets parameterization, multi-wavelets with higher regularity are constructed by using total optimal ability of Genetic Algorithm(GA), in which regular exponential function with parameters is used as fitness function. Contrasting with other multi-wavelets of the same supporting length, vanishing moment and multi-filter bank structure, the multi-wavelet is better in regularity. Compressing and de-noising of smooth image and texture image are taked. Experimental results show that the multi-wavelet has better processing ability and performance.
Key words:
multi-wavelets,
Genetic Algorithm(GA),
regularity,
image compressing,
image de-noising
摘要: 在多小波参数化的基础上,利用遗传算法的全局优化能力,将带参数的正则指数函数作为遗传算法的适应度函数,构造出正则指数较高的多小波。与其他具有相等支撑长度、消失矩阶数及滤波器结构的多小波相比,该多小波的正则指数更优。对光滑和纹理图像的压缩和去噪的实验结果表明,该多小波的图像处理能力更强、效果更好。
关键词:
多小波,
遗传算法,
正则性,
图像压缩,
图像去噪
CLC Number:
CENG Chao-Hui, LIU E-Jun. Construction of Orthogonal Symmetric Multi-wavelets Based on Genetic Algorithm[J]. Computer Engineering, 2010, 36(11): 209-211.
曾朝晖, 刘亚军. 基于遗传算法的正交对称多小波构造[J]. 计算机工程, 2010, 36(11): 209-211.