Results 1 to 10 of about 24,159,744 (391)
Quantum limits in image processing [PDF]
EPL (Europhysics Letters), 2006 We determine the bound to the maximum achievable sensitivity in the estimation of a scalar parameter from the information contained in an optical image in the presence of quantum noise.
Bachor, Hans A. +4 more
core +18 more sources
Image processing using miniKanren [PDF]
arXiv, 2014 An integral image is one of the most efficient optimization technique for image processing. However an integral image is only a special case of delayed stream or memoization. This research discusses generalizing concept of integral image optimization technique, and how to generate an integral image optimized program code automatically from abstracted ...
Niitsuma, Hirotaka
arxiv +3 more sources
MAXIM: Multi-Axis MLP for Image Processing [PDF]
Computer Vision and Pattern Recognition, 2022 Recent progress on Transformers and multilayer perceptron (MLP) models provide new network architectural designs for computer vision tasks. Although these models proved to be effective in many vision tasks such as image recognition, there remain ...
Zhengzhong Tu +6 more
semanticscholar +1 more source
EXPLORING DESIS FOR INLAND WATER QUALITY IN SPANISH RESERVOIRS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 In a first approximation to the use of hyperspectral DESIS data to ocean colour applications in inland waters, we present here a comparison of the DESIS vs. MSI spectra from two reservoirs located in the province of Valencia.
A. B. Ruescas +2 more
doaj +1 more source
Pre-Trained Image Processing Transformer [PDF]
Computer Vision and Pattern Recognition, 2020 As the computing power of modern hardware is increasing strongly, pre-trained deep learning models (e.g., BERT, GPT-3) learned on large-scale datasets have shown their effectiveness over conventional methods. The big progress is mainly contributed to the
Hanting Chen +9 more
semanticscholar +1 more source
Nature Communications, 2023 Climate change is leading to more extreme weather hazards, forcing human populations to be displaced. We employ explainable machine learning techniques to model and understand internal displacement flows and patterns from observational data alone.
Michele Ronco +8 more
doaj +1 more source
Inferring causal relations from observational long-term carbon and water fluxes records
Scientific Reports, 2022 Land, atmosphere and climate interact constantly and at different spatial and temporal scales. In this paper we rely on causal discovery methods to infer spatial patterns of causal relations between several key variables of the carbon and water cycles ...
Emiliano Díaz +4 more
doaj +1 more source
Introduction: The Processes of Imaging / The Imaging of Processes [PDF]
Catalyst: Feminism, Theory, Technoscience, 2018 Introduction to Special Section: The Processes of Imaging / The Imaging of ...
Hausken, Liv +2 more
openaire +5 more sources
Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
doaj +1 more source
Fuzzy System Based Medical Image Processing for Brain Disease Prediction
Frontiers in Neuroscience, 2021 The present work aims to explore the performance of fuzzy system-based medical image processing for predicting the brain disease. The imaging mechanism of NMR (Nuclear Magnetic Resonance) and the complexity of human brain tissues cause the brain MRI ...
Mandong Hu +4 more
semanticscholar +1 more source