Laplacian Filter in Reconstruction of Images using Gradient-Based Algorithm

被引：1

作者：

Stankovic, Isidora ^{[1
]}

Brajovic, Milos ^{[1
]}

Stankovic, Ljubisa ^{[1
]}

Dakovic, Milos ^{[1
]}

机构：

[1] Univ Montenegro, Fac Elect Engn, Podgorica, Montenegro

来源：

2021 29TH TELECOMMUNICATIONS FORUM (TELFOR) | 2021年

关键词：

denoising; image processing; Laplacian; gradient algotihm; noise; SPARSE;

D O I：

10.1109/TELFOR52709.2021.9653297

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we present a procedure for the reconstruction of images using a gradient-based algorithm, combined with the Laplacian filter as a noise-detection tool. Despite being commonly considered as an edge detection tool in the digital image processing, owing to its extensive noise sensitivity, the Laplacian can be efficiently used in the detection of noisy pixels. This paper deals with the noise corruption within the pixel intensity range. The reconstruction of detected pixels is performed using a gradient-based algorithm. The effectiveness of the method is verified through examples.

引用

页数：4

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