Results 21 to 30 of about 10,789,874 (387)
Digital Image Watermarking Techniques: A Review
Inf., 2020 Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images ...
M. Begum, Mohammad Shorif Uddin
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Investigating the impact of image content on the energy efficiency of hardware-accelerated digital spatial filters [PDF]
, 2019 Battery-operated low-power portable computing devices are becoming an inseparable part of human daily life. One of the major goals is to achieve the longest battery life in such a device.
Badii, Atta, Raval, Rajkumar K.
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Twofold dynamic attention guided deep network and noise-aware mechanism for image denoising
Journal of King Saud University: Computer and Information Sciences, 2023 Convolutional neural networks are given extensive attention towards noise removal due to their good performance over traditional denoising algorithms. With shallow conventional neural networks, the feature extraction ability is not profound.
Zihao Chen +5 more
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Optics Express, 2005 A major application of optics is imaging all types of structural, physical, chemical and biological features of matter. Techniques based on most known properties of light have been developed over the years to remotely acquire information about such features.
Torner Sabata, Lluís +2 more
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JPEG steganography with particle swarm optimization accelerated by AVX [PDF]
, 2020 Digital steganography aims at hiding secret messages in digital data transmitted over insecure channels. The JPEG format is prevalent in digital communication, and images are often used as cover objects in digital steganography.
Bramas B +7 more
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An Investigation on Text-Based Cross-Language Picture Retrieval Effectiveness through the Analysis of User Queries [PDF]
, 2012 Purpose: This paper describes a study of the queries generated from a user experiment for cross-language information retrieval (CLIR) from a historic image archive. Italian speaking users generated 618 queries for a set of known-item search tasks.
Clough, Paul, Petrelli, Daniela
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Frontiers in Aging Neuroscience, 2022 The Extreme Learning Machine (ELM) is a simple and efficient Single Hidden Layer Feedforward Neural Network(SLFN) algorithm. In recent years, it has been gradually used in the study of Alzheimer’s disease (AD). When using ELM to diagnose AD based on high-
Jia Lu, Weiming Zeng, Lu Zhang, Yuhu Shi
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Veterinary Radiology & Ultrasound, 2008 Digital image archival requires less physical storage space, allows for rapid storage and retrieval and avoids loss in image quality over time or with image duplication compared with film storage. Because medical imaging data are critically important and, by law, must be stored in a safe, accessible manner, it is imperative not to have one computer ...
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Journal of Pathology Informatics, 2019 The advent of whole-slide imaging in digital pathology has brought about the advancement of computer-aided examination of tissue via digital image analysis. Digitized slides can now be easily annotated and analyzed via a variety of algorithms. This study
F. Aeffner +13 more
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Multi-Modality Imaging: A Software Fusion and Image-Guided Therapy Perspective
Frontiers in Physics, 2018 With the introduction of computers in medical imaging, which were popularized with the presentation of Hounsfield's ground-breaking work in 1971, numerical image reconstruction and analysis of medical images became a vital part of medical imaging ...
Wolfgang Birkfellner +5 more
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