Image texture smoothing method by a novel L0-norm optimization model

• 作 者: Nie Dongdong Ge Xindi Zhang Tianlai
• 机 构: College of Sciences, Yanshan University, Qinhuangdao 066004, P.R.China“,”Bank of Xingtai, Xingtai 05
• 出 处: 高技术通讯（英文版）
• 发表日期: 2020年3期
• 关键词: texture smoothing structure preserving L0-norm minimization relative total vari-

Texture smoothing is a fundamental tool in various applications.In this work, a new image tex-ture smoothing method is proposed by defining a novel objective function, which is optimized by L0-norm minimization and a modified relative total variation measure.In addition, the gradient con-straint is adopted in objective function to eliminate the staircase effect, which can preserve the struc-ture edges of small gradients.The experimental results show that compared with the state-of-the-art methods, especially the L0 gradient minimization method and the relative total variation method, the proposed method achieves better results in image texture smoothing and significant structure preser-ving.