Results 51 to 60 of about 47,227 (224)

Medical inter-modality volume-to-volume translation

Journal of King Saud University: Computer and Information Sciences, 2023
Many clinical works require medical inter-modality imaging results since the supplementary imaging information from different modalities can be combined to provide better decision-making.
Jinjin Chen, Yongjian Huai, Ji Ma
doaj   +1 more source

Mystery behind similarity measures mse and SSIM [PDF]

2014 IEEE International Conference on Image Processing (ICIP), 2014
Similarity or distance measures play an important role in various pattern recognition applications such as classification, clustering, change detection, information retrieval, energy minimization and optimization problems. We shall analyze theoretically the two most popular quality measures MSE and SSIM used in image processing by showing their origin,
openaire   +2 more sources

3D-SSIM for video quality assessment [PDF]

2012 19th IEEE International Conference on Image Processing, 2012
Effective and efficient objective video quality assessment (VQA) methods are highly desirable in modern visual communication systems for performance evaluation, quality control and resource allocation purposes. Simple VQA algorithms may be developed by direct extensions of still image quality assessment (IQA) approaches on a frame-by-frame basis ...
Kai Zeng, Zhou Wang
openaire   +1 more source

vEMRec: High‐Resolution Volume Electron Microscopy Reconstruction Based on Structure‐Preserving and High‐Fidelity 3D Alignment

Advanced Science, EarlyView.
vEMRec is a frequency‐adaptive computational framework for three‐dimensional alignment in volume electron microscopy. It integrates feature‐based rigid alignment with Gaussian filter‐guided elastic registration to correct rigid misalignments and nonlinear distortions while preserving structural fidelity.
Zhenbang Zhang, Hongjia Li, Zhongjun Yang, Zhiqiang Xu, Duanchen Sun, Xin Gao, Fa Zhang, Renmin Han   +7 more
wiley   +1 more source

No-reference Image Denoising Quality Assessment [PDF]

, 2018
A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
core   +2 more sources

Calibrating MS-SSIM for compression distortions using MLDS [PDF]

2011 18th IEEE International Conference on Image Processing, 2011
In this paper, we describe a recently developed method for assessing perceived image quality, Maximum Likelihood Difference Scaling (MLDS), and use it to assess the performance of MS-SSIM on compression distored images. MLDS allows us to quantify supra-threshold perceptual differences between pairs of images and to examine how perceived image quality ...
Charrier, Christophe, Knoblauch, Kenneth, Maloney, Laurence, Bovik, Alan   +3 more
openaire   +2 more sources

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

Predicting ventilation from single breathing phase non-contrast CT using Swin Transformers. [PDF]

Med Phys
Abstract Background Pulmonary ventilation imaging enables functional avoidance radiotherapy treatment plans by quantifying regional lung function. However, current clinical standards, such as 99𝑚Tc‐based single‐photon emission computed tomography (SPECT), rely on radioactive tracers, which can introduce imaging deposition artifacts.
Liu YK, Kuo HT, Melek A, Castillo R, Vinogradskiy Y, Zhao L, Nair G, Castillo E.   +7 more
europepmc   +2 more sources

Exact Histogram Specification Optimized for Structural Similarity

, 2008
An exact histogram specification (EHS) method modifies its input image to have a specified histogram. Applications of EHS include image (contrast) enhancement (e.g., by histogram equalization) and histogram watermarking.
Alireza Nasiri Avanaki, D. Coltuc, D. Coltuc, D. Coltuc, D. Coltuc, E. L. Hall, H. Zhu, I.-L. Jung, J. A. Stark, J. Y. Kim, M. Barni, P. J. S. G. Ferreira, R. C. Gonzales, R. C. Gonzales, S.-C. Pei, T. H. Cormen, V. Caselles, Y. J. Zhang, Y. Wan, Z. Wang, Z. Wang   +20 more
core   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

Advanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong, Haodong Shi, Qi Wang, Yingchao Li, Hongyu Sun, Jiayu Wang, Guanlin Li, Jian Zhang, Qiang Fu, Huilin Jiang   +9 more
wiley   +1 more source