Results 91 to 100 of about 48,579 (315)

SSIM Technique for Comparison of Images

International Journal of Innovative Research in Science, Engineering and Technology, 2014
Now days there are different methods are present for evaluation of features of images, but there is no common effort developed for the comparison of the quality of image. We, in this paper are interested in quality evaluation of images so we are capturing the images from different cameras.
Anil Wadhokar, Krupanshu Sakharikar, Sunil Wadhokar, Geeta Salunke   +3 more
openaire   +1 more source

Temporal Interpolation via Motion Field Prediction

, 2018
Navigated 2D multi-slice dynamic Magnetic Resonance (MR) imaging enables high contrast 4D MR imaging during free breathing and provides in-vivo observations for treatment planning and guidance.
Karani, Neerav, Konukoglu, Ender, Tanner, Christine, Zhang, Lin   +3 more
core   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Weighted Low Rank Approximation for Background Estimation Problems

, 2017
Classical principal component analysis (PCA) is not robust to the presence of sparse outliers in the data. The use of the $\ell_1$ norm in the Robust PCA (RPCA) method successfully eliminates the weakness of PCA in separating the sparse outliers. In this
Dutta, Aritra, Li, Xin
core   +1 more source

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Cross-Site Generalization of CNN-Based $$ {B}_1^{+} $$ Mapping in UHF MRI. [PDF]

NMR Biomed
The study demonstrates that CNN%‐based B1+$$ {B}_1^{+} $$ mapping transfers across sites with only moderate accuracy loss: while on‐site RMSEs were as low as ~3%, cross‐site predictions increased errors but remained qualitatively robust. Despite these deviations, cross‐site maps successfully enabled dynamic 4kT‐points pulses, achieving flip‐angle ...
Hadjikiriakos K, Krüger F, Zimmermann FF, Grimm JA, Schorling C, Lutz M, Schmidt S, Riemann LT, Degenhardt K, Schäffter T, Ladd ME, Metzger GJ, Aigner CS, Schmitter S.   +13 more
europepmc   +2 more sources

Recovery of Missing Samples Using Sparse Approximation via a Convex Similarity Measure

, 2017
In this paper, we study the missing sample recovery problem using methods based on sparse approximation. In this regard, we investigate the algorithms used for solving the inverse problem associated with the restoration of missed samples of image signal.
Javaheri, Amirhossein, Marvasti, Farokh, Zayyani, Hadi   +2 more
core   +1 more source

VAE+DDPG: An Attention‐Enhanced Variational Autoencoder for Deep Reinforcement Learning‐Based Autonomous Navigation in Low‐Light Environments

Advanced Intelligent Systems, EarlyView.
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee, Chanhong Hwang, Hyunseok Kang, Yechan Park, Hangwoo Jin, Tuan Anh Nguyen, Eunmi Choi, Dugki Min   +7 more
wiley   +1 more source

NIRGB‐GS: Near‐Infrared Assisted Low‐Light Scene Reconstruction and Enhancement via Gaussian Splatting

Advanced Intelligent Systems, EarlyView.
This article proposes NIRGB‐GS, a multimodal 3DGS variant that enables reliable 3D reconstruction and normal‐light novel‐view synthesis for extremely low‐light scenes by fusing paired near‐infrared and noisy RGB captures. High‐SNR near‐infrared modality and modality‐specific appearance encoding together resolve the issues of unstable pose/geometry ...
Chengyun Yang, Yi Zhang, Yu Lei, Qiaofeng Li   +3 more
wiley   +1 more source

A Generalized and Parallelized SSIM-Based Multilevel Thresholding Algorithm

Applied Artificial Intelligence, 2019
Multilevel thresholding is a widely used technique to perform image segmentation. It consists of dividing an input image into several distinct regions by finding the optimal thresholds according to a certain objective function.
Ikram Boubechal, Rachid Seghir, Redha Benzid   +2 more
doaj   +1 more source