Results 81 to 90 of about 48,579 (315)
Clustering stability evaluation method based on SSIM
Journal of Algorithms & Computational Technology, 2019 In the clustering validity analysis, three main methods including intra-class cohesion, inter-class separation, and artificial judgment index can be used to evaluate the clustering results.
Yan Zhu Hu +4 more
doaj +1 more source
Improving Visual Defect Detection and Localization in Industrial Thermal Images Using Autoencoders
Journal of Imaging, 2023 Reliable functionality in anomaly detection in thermal image datasets is crucial for defect detection of industrial products. Nevertheless, achieving reliable functionality is challenging, especially when datasets are image sequences captured during ...
Sasha Behrouzi +6 more
doaj +1 more source
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR Images [PDF]
, 2022 Alessandro Sciarra +6 more
openalex +1 more source
End-to-end Projector Photometric Compensation
, 2019 Projector photometric compensation aims to modify a projector input image such that it can compensate for disturbance from the appearance of projection surface.
Huang, Bingyao, Ling, Haibin
core +1 more source
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
Effectiveness of the RIFE Algorithm in 3D Animation Motion Interpolation : A Case Study Approach
Jurnal SisfokomThis study evaluates the performance of the Real-Time Intermediate Flow Estimation (RIFE) algorithm in enhancing the temporal continuity and perceptual quality of 3D-rendered animation.
Arie Rahmat Ramdhani, Ema Utami
doaj +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
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
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
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