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

• Published in: Multimedia tools and applications Vol. 79; no. 29-30; pp. 21013 - 21035
• Main Authors: Thanh, Dang N. H., Hai, Nguyen Hoang, Prasath, V. B. Surya, Hieu, Le Minh, Tavares, João Manuel R. S.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2020; Springer Nature B.V
• Subjects: Computer Communication Networks; Computer Science; Data Structures and Information Theory; Density; Electronic devices; Image processing; Image quality; Image restoration; Multimedia Information Systems; Noise; Noise levels; Noise reduction; Quality assessment; Signal to noise ratio; Special Purpose and Application-Based Systems; Image quality assessment; Image restoration; Image processing; Image denoising; Salt and pepper noise
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-020-08887-6

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%.