摘要
鉴于利用大气信息或景深信息复原雾天图像的方法不能局部修正恢复结果,文中融合大气散射模型与变分偏微分方程,提出了暗原色先验与MTV(Multi-channel Total Variation)模型相结合的单幅彩色图像去雾算法(HMTV模型)。利用Dual Bregman算法,通过引入辅助变量和Bregman迭代参数将问题转化为利用对偶变量的半隐式迭代计算和主变量的精确计算公式来求解该模型。最后,将H-MTV模型与He,Kimmel Retinex等经典算法的实验结果进行分析和比较,验证了所提算法的有效性和优越性。
Combining variational partial differential equation with the atmospheric attenuation model,a single color image dehazing algorithm on the basis of dark channel prior and MTV model called H-MTV model was proposed.Then,using auxiliary variables and Bregman iterative parameters to calculate the model,this paper designed dual Bregman algorithm.Finally,H-MTV model was compared with He algorithm and Kimmel Retinex algorithm.Experimental results show that H-MTV model is superior to the traditional methods qualitatively and quantitatively.
出处
《计算机科学》
CSCD
北大核心
2018年第3期274-276,282,共4页
Computer Science
基金
国家自然科学基金项目(61170106)
山东省高等学校科技计划项目(J14LN39)资助
