摘要
文章在优化方法方面引入复小波转换,改进离散小波变换。根据人类视觉对颜色的具体感知程度,对颜色模型空间中的明度参数进行重建,这种优化方法在多维度Retinex算法上进行基础性增强,用引导影像滤波器代替高斯滤波器,对图像边缘细节优化选取,以保证算法在低通子频带中的对比度。
The article introduces complex wavelet transform in optimization method and improves discrete wavelet transform.According to the specific perception of color by human vision,the lightness parameter in the color model space is reconstructed.This optimization method performs basic enhancement on the multi-dimensional Retinex algorithm.The guided image filter is used instead of the Gaussian filter to improve the edge details of the image.The selection is optimized to guarantee the contrast of the algorithm in the low-pass subband.
作者
王燕
WANG Yan(Jilin Radio and Television Station,Jilin 132013,China)
关键词
图像处理
数字图像增强
视觉传达
引导影像滤波器
仿真分析
image processing
digital image enhancement
visual communication
guided image filter
simulation analysis
