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Everything about Wiener deconvolution
Type of filter
In mathematics, Wiener deconvolution is an application of the Wiener filter to the noise problems inherent in deconvolution. It works in the frequency domain, attempting to minimize the impact of deconvolved noise at frequencies which have a poor signal-to-noise ratio. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Wiener deconvolutionA 5-minute orientation
- Skim a recent paper: INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light ConditionsInfluential work since 2022
- Pick up a classic book: Digital Signal ProcessingThe most-reprinted book on the subject
- Read the landmark paper: Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?Cited 108 times
- Go sideways: DeconvolutionA closely related topic
- Go sideways: Adaptive filterA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Bandwidth enhancement: Inverse Q filtering or time-varying Wiener deconvolution?
Bayesian estimation of regularization and point spread function parameters for Wiener–Hunt deconvolution
DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
Multi-Wiener SURE-LET Deconvolution
Image restoration by Wiener deconvolution in limited-view computed tomography
A deconvolution technique using optimal Wiener filtering and regularization
An improved Wiener deconvolution filter for high-resolution electron microscopy images
Wiener Deconvolution for Reconstruction of Pneumatically Attenuated Pressure Signals
🆕 Influential since 2022
INFWIDE: Image and Feature Space Wiener Deconvolution Network for Non-Blind Image Deblurring in Low-Light Conditions
End-to-end learned single lens design using improved Wiener deconvolution
Submetric Spatial Resolution ROTDR Temperature Sensor Assisted by Wiener Deconvolution
High Spatial Resolution Optical Frequency-Domain Reflectometry Using Wiener Deconvolution
Elimination of Side Lobe Ghost Peak Using Wiener Deconvolution Filter in OFDR
📚 Books worth reading
Digital Signal Processing · 2006
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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