Reference health
Bucket Detector Signal Denoising for Low-Light-Level Single-Pixel Imaging Based on Denoising Convolution Neural Network
12/12 checkable references clean · checked 2026-08-30
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
17 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 12 checked references that resolve
resolves10.1364/OE.27.025560
Learning from simulation: An end-to-end deep-learning approach for computational ghost imaging
resolves10.1364/OE.392370
Image-free classification of fast-moving objects using “learned” structured illumination and single-pixel detection
resolves10.1364/OPTICA.3.000133
Frequency-division-multiplexed single-pixel imaging with metamaterials
resolves10.1109/TIP.2017.2662206
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
resolves10.1109/TIP.2018.2839891
FFDNet: Toward a Fast and Flexible Solution for CNN-Based Image Denoising
The 17 references without a DOI — listed, not checked
no DOI — not checkedComputational ghost imaging
no DOI — not checkedA single-pixel terahertz imaging system based on compressed sensing
no DOI — not checkedHigh-resolution hyperspectral single-pixel imaging system based on compressive sensing
no DOI — not checkedMultispectral imaging using a single bucket detector
no DOI — not checkedGhost imaging lidar via sparsity constraints
no DOI — not checkedThree-dimensional ghost imaging lidar via sparsity constraint
no DOI — not checkedThree-dimensional correlative single-cell imaging utilizing fluorescence and refractive index tomography
no DOI — not checkedSingle-pixel imaging and its appliin three-dimensional reconstruction: a brief review
no DOI — not checkedref14
no DOI — not checkedDeep-learning-based ghost imaging
no DOI — not checkedDeepghost: realtime computational ghost imaging via deep learning
no DOI — not checkedDeep-learning denoising computational ghost imaging
no DOI — not checkedComprehensive comparison of single-pixel imaging methods
no DOI — not checkedToward convolutional blind denoising of real photographs
no DOI — not checkedTransfer learning from synthetic to real-noise denoising with adaptive instance normalization
no DOI — not checkedref28
no DOI — not checkedPearson correlation coefficient
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
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or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-08-30 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
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