Transform-Domain Denoising Techniques
This cluster focuses on advanced techniques for denoising images in the transform domain, exploring various algorithms and methodologies including soft-thresholding and deep learning approaches. It emphasizes the effectiveness of sparse representations in enhancing image quality while reducing noise artifacts.
8,798 papers
Parent topic: Advanced Image Processing Techniques
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Papers Over Time
Top Papers
1995 · 6,971 citations
2007 · 6,840 citations
2017 · 5,732 citations
1992 · 3,304 citations
2021 · 2,237 citations
1998 · 1,748 citations
2002 · 1,587 citations
2006 · 1,564 citations
2007 · 1,547 citations
2012 · 1,372 citations
1985 · 1,140 citations
2015 · 1,134 citations
1993 · 875 citations
2018 · 841 citations
1982 · 813 citations
1996 · 805 citations
2013 · 666 citations
2000 · 620 citations
2020 · 613 citations
2011 · 587 citations