Improved method of total variation image inpainting

Computer Engineering and Applications ›› 2012, Vol. 48 ›› Issue (7): 194-196.

• 图形、图像、模式识别 • Previous Articles Next Articles

Improved method of total variation image inpainting

LIU Genglong1, TAN Jieqing1，2

1.College of Computer & Information, Hefei University of Technology, Hefei 230009, China
2.Institute of Applied Mathematics, Hefei University of Technology, Hefei 230009, China

Received:1900-01-01 Revised:1900-01-01 Online:2012-03-01 Published:2012-03-01

一种改进的整体变分图像修复方法

刘庚龙1，檀结庆1，2

1.合肥工业大学计算机与信息学院，合肥 230009
2.合肥工业大学应用数学研究所，合肥 230009

Abstract

Abstract: This paper presents an image restoration algorithm based on total variation model, this method improves the original model through constructing a spread function by calculating the gradients of the pixel, and then carrying out the weighted approach. Experiments show that this algorithm works better in the restoration of damaged images which have rich texture, and has more natural boundary transit.

Key words: image inpainting, total variation, gradient, weighted, spread function

摘要： 提出了一种基于整体变分模型的图像修复方法，该方法通过计算像素点的梯度信息来构造一个扩散函数，再进行加权处理，达到了对原模型的改进。实验表明，该方法修复有较大破损区域的图像效果比较好，边缘过渡更自然。

关键词: 图像修复, 整体变分, 梯度, 加权, 扩散函数

LIU Genglong1, TAN Jieqing1，2. Improved method of total variation image inpainting[J]. Computer Engineering and Applications, 2012, 48(7): 194-196.

刘庚龙1，檀结庆1，2. 一种改进的整体变分图像修复方法[J]. 计算机工程与应用, 2012, 48(7): 194-196.

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Improved method of total variation image inpainting

一种改进的整体变分图像修复方法

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