Titlebook: Image Analysis and Processing – ICIAP 2023; 22nd International C Gian Luca Foresti,Andrea Fusiello,Edwin Hancock Conference proceedings 202

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David Freire-Obregón,Daniel Hernández-Sosa,Oliverio J. Santana,Javier Lorenzo-Navarro,Modesto Castrihe clinical diagnosis and management of pediatric leukemia and will prove invaluable to specialists, generalists, and trainees alike.978-3-642-42370-3978-3-642-13781-5Series ISSN 1613-5318 Series E-ISSN 2191-0812

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Umberto Bilotti,Carmen Bisogni,Michele Nappi,Chiara Perohe clinical diagnosis and management of pediatric leukemia and will prove invaluable to specialists, generalists, and trainees alike.978-3-642-42370-3978-3-642-13781-5Series ISSN 1613-5318 Series E-ISSN 2191-0812

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Ahmed Tabia,Fabien Bonardi,Samia Bouchafahe clinical diagnosis and management of pediatric leukemia and will prove invaluable to specialists, generalists, and trainees alike.978-3-642-42370-3978-3-642-13781-5Series ISSN 1613-5318 Series E-ISSN 2191-0812

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Image Retrieval in Semiconductor Manufacturing,ueried e.g. for quality inspection purposes. In this work we design an image retrieval solution over IMAGO, a dataset of Transmission Electron Microscopy (TEM) images of nano-sized silicon structures collected in the production site of STMicroelectronics, in Agrate Brianza, Italy. Image retrieval in

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,Self-Similarity Block for?Deep Image Denoising,age denoising ignored NLSS and were made of a sequence of convolutional layers trained to suppress noise. The first denoising CNNs leveraging NLSS prior were performing non-learnable operations outside the network. Then, pre-defined similarity measures were introduced and finally learnable, but scal

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,Shallow Camera Pipeline for?Night Photography Enhancement,sults, their high computational requirements and limited interpretability can pose challenges. To address these limitations, we propose a camera pipeline for rendering visually pleasing photographs in low-light conditions. Our approach is characterized by a shallow structure, explainable steps, and

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,GCK-Maps: A Scene Unbiased Representation for?Efficient Human Action Recognition,include deep-learning approaches based on RGB videos and pre-computed optical flow maps. Recently, 3D Gray-Code Kernels projections have been assessed as an alternative way of representing motion, being able to efficiently capture space-time structures. In this work, we investigate the use of GCK po