Abstract: Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem ...

In part 2 of this PixInsight tutorial series, we dive into the non-linear processing stage to bring out the stunning details of the Sunflower Galaxy. Follow along to enhance your deep-sky astrophotos ...

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Abstract: Most non-blind deconvolution methods are developed under the error-free kernel assumption, and are not robust to inaccurate blur kernel. Unfortunately ...

This tutorial presents and explains examples of the deconvolution of hydrophone measurement data. The motivation for performing deconvolution is that, in many cases, measurements of ultrasonic signals ...

20-year-old Katie loves tutorial porn. The university student, who is using her first name only for privacy reasons, tells Mashable that it helped her to understand sex during a time where it ...

1 Laboratory of Astrophysics, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland 2 AIM CEA CNRS Université Paris-Saclay Université de Paris, Gif-sur-Yvette, France With the onset ...

October 31st is right around the corner, and IDK about you, but I’m ready to go all out on my Halloween costume this year. I love Halloween parties, decking out my home in Halloween decorations, and ...

Traceback (most recent call last): File "Codes/Deconvolution/DestVI_pipeline.py", line 52, in <module> scvi.data.setup_anndata(sc_adata, layer="counts", labels_key ...

The kidney is composed of heterogeneous groups of epithelial, endothelial, immune, and stromal cells, all in close anatomic proximity. Spatial transcriptomic technologies allow the interrogation of in ...