Image restoration method based on adaptive TV<sub>p</sub> regularization

LI Shuaijie; FENG Zhaoyong

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Image restoration method based on adaptive TV_p regularization

更新时间：2023-12-11

- Image restoration method based on adaptive TV_p regularization
- Acta Scientiarum Naturalium Universitatis SunYatseni Vol. 55, Issue 5, Pages: 8-13(2016)
- 作者机构：
  
  1. 河南科技大学数学与统计学院,河南,洛阳,471023
  2. 
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016，
  
  Published Online：25 October 2016，
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LI Shuaijie, FENG Zhaoyong. Image restoration method based on adaptive TV_p regularization. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 55(5):8-13(2016)
DOI：

LI Shuaijie, FENG Zhaoyong. Image restoration method based on adaptive TV_p regularization. [J]. Acta Scientiarum Naturalium Universitatis SunYatseni 55(5):8-13(2016) DOI：

摘要

为了解决图像恢复时所引起的阶梯效应和边缘模糊问题，定义可变TV

范数，提出一个自适应TV

(Adaptive TV

ATV

)正则恢复模型，并结合AOS数值计算方法，给出完整的ATV

正则恢复算法，其中p可以自动区分图像中的边缘和平坦区域，自适应选择不同的数值，使得新模型在恢复的同时不仅能够自适应的对图像中目标边缘进行有效的保护，而且可以避免出现阶梯效应。实验表明，和主要的一些正则模型相比，本恢复算法对模糊图像的恢复无论在视角效果还是定量指标上都有了明显的改进。

Abstract

In order to avoid the staircasing effect and edge blurring problem. A variable TV

norm was defined

and an adaptive TV

(ATV

) regularization model was proposed. Combining the AOS numerical method

a complete ATV

regularization algorithm was shown

where p can be adaptive selected according to different image areas. The characteristics make the new model preserve the edge information better and avoid the staircasing effect while image restoration. Experiments showed that compared with the existing regularization models

it improved the restoration results in both visual effects and SBR and PSNR.

关键词

图像恢复ATVp正则AOS数值计算

Keywords

image restorationATVpregularizationAOS method

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Image restoration method based on adaptive TVp regularization

DOI：

摘要

Abstract

关键词

Keywords

references

Image restoration method based on adaptive TV_p regularization