A two-stage filter for high density salt and pepper denoising

• Tipo: Artigo em Revista Científica Internacional
• Data: 2020-08

Autores

Dang N. H. Thanh (Autor) Outra; Nguyen Hoang Hai (Autor) Outra; Le Minh Hieu (Autor) Outra; V. B. Surya Prasath (Autor) Outra; João Manuel R. S. Tavares (Autor) FEUP

Revista

Título: Multimedia Tools and Applications

Vol. 79 Nº 29-30

Páginas: 21013-21035

ISSN: 1380-7501

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 1 Citação

ISI Web of Science

Classificação Científica

CORDIS: Ciências Tecnológicas

FOS: Ciências da engenharia e tecnologias

Outras Informações

ID Authenticus: P-00S-YED

DOI: 10.1007/s11042-020-08887-6

Abstract (EN): Image restoration is an important and interesting problem in the field of image processing because it improves the quality of input images, which facilitates postprocessing tasks. The salt-and-pepper noise has a simpler structure than other noises, such as Gaussian and Poisson noises, but is a very common type of noise caused by many electronic devices. In this article, we propose a two-stage filter to remove high-density salt-and-pepper noise on images. The range of application of the proposed denoising method goes from low-density to high-density corrupted images. In the experiments, we assessed the image quality after denoising using the peak signal-to-noise ratio and structural similarity metric. We also compared our method against other similar state-of-the-art denoising methods to prove its effectiveness for salt and pepper noise removal. From the findings, one can conclude that the proposed method can successfully remove super-high-density noise with noise level above 90%.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 23