| Nie Dongdong (聂栋栋)*,Ge Xindi*,Zhang Tianlai **.[J].高技术通讯(英文),2020,26(3):278~284 |
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| Image texture smoothing method by a novel L0-norm optimization model |
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| DOI：doi：10.3772/j.issn.1006-6748.2020.03.006 |
| 中文关键词: |
| 英文关键词: texture smoothing, structure preserving, L0-norm minimization, relative total variation |
| 基金项目: |
| Author Name | Affiliation | | Nie Dongdong (聂栋栋)* | (*College of Sciences, Yanshan University, Qinhuangdao 066004, P.R.China) | | Ge Xindi* | (*College of Sciences, Yanshan University, Qinhuangdao 066004, P.R.China) | | Zhang Tianlai ** | (**Bank of Xingtai, Xingtai 054001, P.R.China) |
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| 中文摘要: |
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| 英文摘要: |
| Texture smoothing is a fundamental tool in various applications. In this work, a new image texture 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 constraint is adopted in objective function to eliminate the staircase effect, which can preserve the structure 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 preserving. |
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