An advanced noise reduction and edge enhancement algorithm

Shih Chia Huang, Quoc Viet Hoang, Trung Hieu Le*, Yan Tsung Peng, Ching-Chun Huang, Cheng Zhang, Benjamin C.M. Fung, Kai Han Cheng, Sha Wo Huang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


Complementary metal-oxide-semiconductor (CMOS) image sensors can cause noise in images collected or transmitted in unfavorable environments, especially low-illumination scenarios. Numerous approaches have been developed to solve the problem of image noise removal. However, producing natural and high-quality denoised images remains a crucial challenge. To meet this challenge, we introduce a novel approach for image denoising with the following three main contri-butions. First, we devise a deep image prior-based module that can produce a noise-reduced image as well as a contrast-enhanced denoised one from a noisy input image. Second, the produced images are passed through a proposed image fusion (IF) module based on Laplacian pyramid decomposition to combine them and prevent noise amplification and color shift. Finally, we introduce a progressive refinement (PR) module, which adopts the summed-area tables to take advantage of spatially corre-lated information for edge and image quality enhancement. Qualitative and quantitative evaluations demonstrate the efficiency, superiority, and robustness of our proposed method.

Original languageEnglish
Article number5391
Pages (from-to)1-12
Number of pages12
Issue number16
StatePublished - 2 Aug 2021


  • Contrast enhancement
  • Deep image prior
  • Edge enhancement
  • Noise removal


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