A Mixed Noise Removal Method Based on Total Variation

Abstract

Due to the technology limits, digital images always include some defects, such as noise. Noise reduces image quality and affects the result of imageprocessing. While in most cases, noise has Gaussian distribution, in biomedical images, noise is usually a combination of Poisson and Gaussian noises. This combination is naturally considered as a superposition of Gaussian noise over Poisson noise. In this paper, we propose a method to remove such a type of mixed noise based on anovel approach: we consider the superposition of noises like a linear combination. We use the idea of the total variation of an image intensity (brightness) function to remove this combination of noises.

Authors

  • N.H. Thanh Dang Tula State University; 92 Lenin Ave., Tula, Russian Federation Hue College of Industry, 70 Nguyen Hue st., Hue, Vietnam
  • Sergey D. Dvoenko Tula State University; 92 Lenin Ave., Tula, Russian Federation
  • Viet Sang Dinh Hanoi University of Science and Technology; 1 Dai Co Viet st., Hanoi, Vietnam

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Published

07/11/2016

How to Cite

Dang, N. T., Dvoenko, S. D., & Dinh, V. S. (2016). A Mixed Noise Removal Method Based on Total Variation. Informatica, 40(2). Retrieved from https://www.informatica.si/index.php/informatica/article/view/1277

Issue

Vol. 40 No. 2 (2016)

Section

Special issue papers

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