Results 51 to 60 of about 28,366 (229)
BLIND DECONVOLUTION ON UNDERWATER IMAGES FOR GAS BUBBLE MEASUREMENT [PDF]
Marine gas seeps, such as in the Panarea area near Sicily (McGinnis et al., 2011), emit large amounts of methane and carbon-dioxide, greenhouse gases.
C. Zelenka, R. Koch
doaj +1 more source
Extended object reconstruction in adaptive-optics imaging: the multiresolution approach
We propose the application of multiresolution transforms, such as wavelets (WT) and curvelets (CT), to the reconstruction of images of extended objects that have been acquired with adaptive optics (AO) systems.
Gallé, Roberto Baena +2 more
core +1 more source
Low‐frequency noise fingerprints in hafnia ferroelectrics provide a quantitative handle to resolve the long‐standing debate between polarization‐mediated and defect‐mediated switching. By tuning oxygen vacancy density via ALD O3 dose time and applying a physically constrained deconvolution, we extract bias‐resolved current fractions for both mechanisms
Ryun‐Han Koo +8 more
wiley +1 more source
CSPG4 is identified as a high‐value, stemness‐associated target in HPV‐negative HNSCC. By implementing rational biophysical engineering, a humanized and charge‐optimized CAR is developed to overcome tonic signaling‐induced exhaustion. This strategy induces a profound transcriptomic shift toward a rejuvenated, stem‐like memory state, significantly ...
Xiang Xu +13 more
wiley +1 more source
Secure Massive IoT Using Hierarchical Fast Blind Deconvolution
The Internet of Things and specifically the Tactile Internet give rise to significant challenges for notions of security. In this work, we introduce a novel concept for secure massive access.
Eisert, Jens +4 more
core +1 more source
Progressive Blind Deconvolution [PDF]
We present a novel progressive framework for blind image restoration. Common blind restoration schemes first estimate the blur kernel, then employ non-blind deblurring. However, despite recent progress, the accuracy of PSF estimation is limited. Furthermore, the outcome of non-blind deblurring is highly sensitive to errors in the assumed PSF. Therefore,
Rana Hanocka, Nahum Kiryati
openaire +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Seismic Blind Deconvolution Based on Self-Supervised Machine Learning
Seismic deconvolution is a useful tool in seismic data processing. Classical non-machine learning deconvolution methods usually apply quite a few constraints to both wavelet inversion and reflectivity inversion.
Xia Yin +3 more
doaj +1 more source
In non‐cooperative scenarios, the spreading sequences or waveforms of the direct sequence spread spectrum (DSSS) signals is unknown to the receiver.
Liangliang Li +4 more
doaj +1 more source
Boric Acid Post‐Modified [Al]ZSM‐5 Zeolites: Properties, Acidity, and Ethanol/Ethene Conversion
The modification of MFI zeolites with boric acid leads to the formation of framework boron, unstable surface species, and unbound deposits. Relevant BAS for catalysis and access to pores are strongly reduced. The boric acid is removed upon converting C1 or C2 alcohols and ethene. ABSTRACT The effect of boric acid post‐modification on [Al]ZSM‐5 zeolites
Zheng Li +3 more
wiley +1 more source

