Results 71 to 80 of about 10,267 (252)
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
Advanced Intelligent Discovery, EarlyView.The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Improving Measurement Bias of Structural Similarity Index (SSIM) using Absolute Difference Equation
Applications of Modelling and Simulation, 2022 Structural similarity index (SSIM) is a framework for assessing the perceptual quality from an image using the degrading and structural information of an image.
Muhammad Irfan Jaafar +2 more
doaj
CORDIC Based SSIM Computation in FPGA [PDF]
, 2015 Images may be distorted by imaging system or by transfer it from one system to another or to process for different application. So, it is important to calculate the quality of the image before presenting to the viewer.
Dhali, Sanjit
core
Raw sinogram and SSIM distributions.
, 2016 (a) A raw sinogram including invalid data at both ends, we can see that the invalid data are collected at a non-rotational stage and they are nearly the same, thus, they are strip-like on the raw sinogram; (b) SSIM distributions of dataset P1 and P2.
Gang Zhao (161405) +7 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Sequential multicolor fluorescence imaging in dynamic microsystems is constrained by acquisition speed and excitation dose. This study introduces a real‐time framework to reconstruct spectrally separated channels from reduced cross‐channel acquisitions (frames containing mixed spectral contributions).
Juan J. Huaroto +3 more
wiley +1 more source
Reversible Data Hiding Based on Structural Similarity Block Selection
IEEE Access, 2020 Reversible data hiding (RDH) methods are widely used in many privacy-sensitive real-time applications for digital images. As an efficient RDH method, prediction-error histogram (PEH) shifting technique has found wide application for its high efficiency ...
Kehao Wang +5 more
doaj +1 more source
, 2019 La presente evaluación permite conocer la composición y estructura de la flora y fauna silvestre, así como su situación de amenaza y categoría de conservación dentro del área de influencia del proyecto.
Eneque Puicón, Armando Martín +1 more
core
Uncertainty‐Guided Selective Adaptation Enables Cross‐Platform Predictive Fluorescence Microscopy
Advanced Intelligent Discovery, EarlyView.Deep learning models often fail when transferred to new microscopes. A novel framework overcomes this by selectively adapting the early layers governing low‐level image statistics, while freezing deep layers that encode morphology. This uncertainty‐guided approach enables robust, label‐free virtual staining across diverse systems, democratizing ...
Kai‐Wen K. Yang +9 more
wiley +1 more source
Improved BM3D image denoising using SSIM-optimized Wiener filter
EURASIP Journal on Image and Video Processing, 2018 Image denoising is considered a salient pre-processing step in sophisticated imaging applications. Over the decades, numerous studies have been conducted in denoising.
Mahmud Hasan, Mahmoud R. El-Sakka
doaj +1 more source