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

• Type: Article in International Scientific Journal
• Date: 2020-08

Authors

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

Journal

Title: Multimedia Tools and Applications

Vol. 79 No. 29-30

Pages: 21013-21035

ISSN: 1380-7501

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 1 Citation

ISI Web of Science

Scientific classification

CORDIS: Technological sciences

FOS: Engineering and technology

Other information

Authenticus ID: 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%.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 23