基于LBM的高性能图像同步降噪增强算法

High performance image synchronous noise reduction enhancement algorithm based on lattice Boltzmann method

为有效解决生物工程图像处理过程中存在的图像反差低下、噪声污染严重及优化处理效果不佳等问题,基于离散格子玻尔兹曼方法,依据离散格子玻尔兹曼方法的高精准度、高稳定性、高效性能等优点,提出一种改进优化的同步降噪增强算法(L-SDE)。设计分段线性拉伸方法,将其作为外在因素添入离散格子玻尔兹曼方法计算过程,实现同步降噪与反差增强功能。实验结果表明,该算法与其它类型算法相比,图像处理效果以及算法时间复杂度更加具有优势。

Focusing on the issues of low image contrast,serious noise pollution and poor optimization results in bioengineering image processing,a synchronization algorithm for denoising and enhancement of bioengineering image based on lattice Boltzmann method(L-SDE)was designed.The properties of LBM including accuracy and stability,parallel processing,fast execution rate and efficient optimization were used.Piecewise linear stretch function was taken as the external factor of LBM formula,and synchronization denoising and contrast enhancement were achieved.Experimental results show that,compared with other denoising and enhancement algorithms,L-SDE effectively improves the image processing performance and optimizes time complexity.