Design of low power and high speed approximate multipliers utilizing current mode 4 to 2 compressors based on CNTFET technology [PDF]
The main objective of this paper is to design low-power, high-speed approximation multipliers suitable for fault-tolerant applications in image and signal processing, aiming to minimize hardware cost, power consumption, and latency while maintaining ...
Pegah Foroutan, Keivan Navi
doaj +2 more sources
An enhanced adaptive image steganography method using block skin-maps and the integer S-transform [PDF]
Digital image steganography is the art and science of hiding secret information in an innocent looking cover image to covertly exchange sensitive information in real-world scenarios.
Amal Khalifa +3 more
doaj +2 more sources
Fast and accurate RFD-like descriptor approximation for SIMD architectures [PDF]
Local image descriptors are widely used for identifying image features and performing various computer vision tasks, such as object recognition, image matching, and scene reconstruction.
Artem Sher +4 more
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Quantum-enhanced imaging and metrology with undetected photons via squeezed-light homodyne detection [PDF]
In this work a quantum imaging setup based on undetected squeezed photons is employed for metrological applications such as sensitive phase measurement and quantum imaging.
Saheb Samimi +2 more
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Generation of Anisotropic Cloud Cover
This paper introduces an advanced mathematical model for generating and analyzing cloud cover images, specifically designed to enhance photovoltaic (PV) partial shading studies.
Vadym Ihorovych Martyniuk +1 more
doaj +1 more source
The image reconstruction in electrical impedance tomography (EIT) has low accuracy due to the approximation error between the measured voltage change and the approximated voltage change, from which the object cannot be accurately reconstructed and ...
Gao Zengfeng +3 more
doaj +1 more source
Using a novel Genetic Algorithm-based Compressive Learning (GACL), a compressed domain-learning framework is proposed that is implemented on the Haar wavelet approximation coefficient images of the standard kaggle RGB cat dog dataset with every images ...
Baba Fakruddin Ali B. H +1 more
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LAND USE AND LAND COVER CLASSIFICATION OF MULTISPECTRAL LANDSAT-8 SATELLITE IMAGERY USING DISCRETE WAVELET TRANSFORM [PDF]
Land use and land cover (LULC) classification of satellite imagery is an important research area and studied exclusively in remote sensing. However, accurate and appropriate land use/cover detection is still a challenge.
J. Sharma +4 more
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Estimating the Position of an Image with Unknown Intensity Shape
The problem considered is to estimate the image position of a spatially extended object. It is assumed that the shape of the image intensity is a priori unknown, but it can be predicted with some error.
Yury E. Korchagin +3 more
doaj +1 more source
Improving the quality of identification and filtering of micro-object images based on neural networks [PDF]
Constructive approaches, principles, and models for optimizing the identification of micro-objects have been developed based on the use of combined statistical, dynamic models and neural networks with mechanisms for filtering noise and foreign particles ...
Jumanov Isroil +2 more
doaj +1 more source

