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High-Performance Digital Image Processing
AbstractThe work briefly describes the activities of the Moscow Scientific School of Digital Image Processing, formed on the basis of a team led by...
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Local look-up table upsampling for accelerating image processing
The resolution of cameras is increasing, and speedup of various image processing is required to accompany this increase. A simple way of acceleration...
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Anisotropic Localized Wavelets for Image Processing
AbstractThis paper proposes novel anisotropic localized wavelets (ALWs) for structure-preserving image analysis and processing. It is formulated as...
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Deep learning models for digital image processing: a review
Within the domain of image processing, a wide array of methodologies is dedicated to tasks including denoising, enhancement, segmentation, feature...
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Exploring conditional pixel-independent generation in GAN inversion for image processing
Image processing holds an indispensable role in various facets of our daily lives, professional undertakings, and educational pursuits, encompassing...
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Efficient representation of bit-planes for quantum image processing
Quantum computers can be used for efficient storage, processing and transmission of digital images. It involves exploitation of quantum properties to...
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Image Processing-Based Disease Prediction in Medical Plant Leaf
The most crucial aspect of every nation is its agriculture. The production of and demand for medical plant leaf products are expanding quickly day...
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A generic post-processing framework for image dehazing
There are several methods available for image dehazing. The challenges faced by most of these algorithms include under-exposure and leftover haze...
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Marksmanship evaluation using image processing techniques
Performance in marksmanship necessitates precision and undivided concentration. It entails firing bullets at targets using a firearm. According to...
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Methods for Processing and Understanding Image Sequences in Autonomous Navigation Problems
AbstractThis article presents the results of research into methods and algorithms for processing image sequences aimed at application in autonomous...
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A novel Venus’ visible image processing neoteric workflow for improved planetary surface feature analysis
The article presents a novel methodology that comprises of end-to-end Venus’ visible image processing neoteric workflow. The visible raw image is...
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Hybrid image processing model: a base for smart emergency applications
Image processing has led its applications to scale to almost all areas encompassing the emergent interdisciplinary fields of computers, electronics,...
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Edge-computing-assisted intelligent processing of AI-generated image content
Artificial intelligence-generated image content (AIGIC) is produced through the extraction of features and patterns from a vast image dataset,...
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A novel AES and Chacha based block level processing oriented image encryption scheme
Image processing stands out as a significant concern when dealing with different types of data, primarily due to the larger storage requirements and...
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Quantum Fourier Transform in Image Processing
This paper presents an approach to apply quantum Fourier transform (QFT) to image processing using quantum computing. The use of quantum computing...
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Connecto-informatics at the mesoscale: current advances in image processing and analysis for map** the brain connectivity
Map** neural connections within the brain has been a fundamental goal in neuroscience to understand better its functions and changes that follow...
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Extended depth of focus imaging using optics and image processing
The depth of focus (DoF) is an important element of imagery schemes that influences image quality. Extended DoF (EDoF) imagery is a difficult,...
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Image processing-based protection of privacy data in cloud using NTRU algorithm
The recent and fast improvements in communication networks and digital technologies have facilitated the easy transmission and storage of multimedia...
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Reducing the Computational Complexity of Image Processing Using Wavelet Transform Based on the Winograd Method
AbstractModern computer technology devices do not keep pace with the high growth rate of quantitative and qualitative characteristics of digital...
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A review of adaptable conventional image processing pipelines and deep learning on limited datasets
The objective of this paper is to study the impact of limited datasets on deep learning techniques and conventional methods in semantic image...
