On the public citation graph

DCTDBN: Explicit Frequency Decoupling and Adaptive Spatial–Frequency Fusion for Image Denoising

https://doi.org/10.2139/ssrn.7149775
0 signed · 26 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-1-4757-6017-0openalex-snapshot
Nonlinear Digital Filters
inferredcites →https://doi.org/10.1016/j.dsp.2025.105235openalex-snapshot
A survey on Deep Image Prior for image denoising
inferredcites →https://doi.org/10.1016/j.ijleo.2017.12.074openalex-snapshot
Medical image denoising based on 2D discrete cosine transform via ant colony optimization
inferredcites →https://doi.org/10.1016/j.knosys.2021.106949openalex-snapshot
Designing and training of a dual CNN for image denoising
inferredcites →https://doi.org/10.1016/j.neucom.2025.131557openalex-snapshot
Self-supervised multi-blind network for real image denoising via multivariate Gaussian-poisson noise
inferredcites →https://doi.org/10.1016/j.neunet.2019.08.022openalex-snapshot
Image denoising using deep CNN with batch renormalization
inferredcites →https://doi.org/10.1016/j.neunet.2019.12.024openalex-snapshot
Attention-guided CNN for image denoising
inferredcites →https://doi.org/10.1016/j.patcog.2025.112300openalex-snapshot
Learning multi-scale spatial-frequency features for image denoising
inferredcites →https://doi.org/10.1016/j.sigpro.2009.05.028openalex-snapshot
A multi-frame image super-resolution method
inferredcites →https://doi.org/10.1109/78.370615openalex-snapshot
Optimal weighted median filtering under structural constraints
inferredcites →https://doi.org/10.1109/access.2021.3061062openalex-snapshot
A Residual Dense U-Net Neural Network for Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2014.366openalex-snapshot
Weighted Nuclear Norm Minimization with Application to Image Denoising
inferredcites →https://doi.org/10.1109/cvpr.2017.300openalex-snapshot
Learning Deep CNN Denoiser Prior for Image Restoration
inferredcites →https://doi.org/10.1109/cvpr46437.2021.00849openalex-snapshot
Adaptive Consistency Prior based Deep Network for Image Denoising
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01693openalex-snapshot
All-In-One Image Restoration for Unknown Corruption
inferredcites →https://doi.org/10.1109/iccv.1998.710815openalex-snapshot
Bilateral filtering for gray and color images
inferredcites →https://doi.org/10.1109/jsac.2021.3126074openalex-snapshot
Efficient Residual Shrinkage CNN Denoiser Design for Intelligent Signal Processing: Modulation Recognition, Detection, and Decoding
inferredcites →https://doi.org/10.1109/lsp.2018.2850222openalex-snapshot
Nonlocality-Reinforced Convolutional Neural Networks for Image Denoising
inferredcites →https://doi.org/10.1109/tc.2017.2731770openalex-snapshot
Approximate DCT Image Compression Using Inexact Computing
inferredcites →https://doi.org/10.1109/tip.2007.901238openalex-snapshot
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
inferredcites →https://doi.org/10.1109/tip.2015.2414873openalex-snapshot
Adaptive Image Denoising by Targeted Databases
inferredcites →https://doi.org/10.1109/tip.2020.2976814openalex-snapshot
Blind Universal Bayesian Image Denoising With Gaussian Noise Level Learning
inferredcites →https://doi.org/10.1109/tpami.2016.2596743openalex-snapshot
Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
inferredcites →https://doi.org/10.1515/9783110524116openalex-snapshot
Image Processing
inferredcites →https://doi.org/10.1609/aaai.v36i2.20088openalex-snapshot
Generative Adaptive Convolutions for Real-World Noisy Image Denoising
inferredcites →https://doi.org/10.5201/ipol.2011.ys-dctopenalex-snapshot
DCT Image Denoising: a Simple and Effective Image Denoising Algorithm
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.