Comparative Study of Image Denoise Algorithms


  • Tram Tran Nguyen Quynh Faculty of Information Department, Ho Chi Minh City University of Foreign Languages and Information Technology 155 Su Van Hanh (extent), District 10, Ho Chi Minh City, 700000, Vietnam
  • Hung Do Phi Faculty of Information Department, Ho Chi Minh City University of Foreign Languages and Information Technology 155 Su Van Hanh (extent), District 10, Ho Chi Minh City, 700000, Vietnam


Denoise, Bilateral Filter, Guided Image Filter, ROF, TV-L1, Total Variation, Wavelet shrinkage, Dual-domain image denoise, Non-local dual denoising.


Denoising is a pre-processing step in digital image processing system. It is also typical image processing challenges. Many works proposed to solve problem with new approaching. They can be divided into two main categories: spatial-based or transform-based. Some denoising methods apply in both spatial and transform domains. The goal of this paper focuses on reviewing denoise methods, classifying them into different categories, and identifying new trends. Moreover, we do experiments to compare pros, cons of methods in survey.


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How to Cite

Quynh, T. T. N., & Do Phi, H. (2018). Comparative Study of Image Denoise Algorithms. International Journal of Computer (IJC), 29(1), 42–58. Retrieved from