Results 51 to 60 of about 65,529 (267)
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
, 2019 Convolutional autoencoders have emerged as popular methods for unsupervised defect segmentation on image data. Most commonly, this task is performed by thresholding a pixel-wise reconstruction error based on an $\ell^p$ distance. This procedure, however,
Bergmann, Paul +4 more
core +1 more source
Rate Bounds on SSIM Index of Quantized Images [PDF]
IEEE Transactions on Image Processing, 2008 In this paper, we derive bounds on the structural similarity (SSIM) index as a function of quantization rate for fixed-rate uniform quantization of image discrete cosine transform (DCT) coefficients under the high-rate assumption. The space domain SSIM index is first expressed in terms of the DCT coefficients of the space domain vectors.
Sumohana S, Channappayya +2 more
openaire +2 more sources
A Faster and Robust Artificial Neural Network Based Image Encryption Technique With Improved SSIM
IEEE AccessA robust image encryption process is still one of the most challenging tasks in image security owing to massive degree and sensitivity nature of information in the form of pixels.
Asisa Kumar Panigrahy +8 more
semanticscholar +1 more source
Cohort-based T-SSIM Visual Computing for Radiation Therapy Prediction and Exploration [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2019 We describe a visual computing approach to radiation therapy (RT) planning, based on spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment, dosage to organs at risk surrounding a tumor is a large cause of ...
A. Wentzel +8 more
semanticscholar +1 more source
Advanced Science, EarlyView.vEMINR is an ultra‐fast isotropic reconstruction method for vEM based on implicit neural representation, achieving over tenfold faster reconstruction and higher accuracy on 11 datasets, showing strong potential for large‐scale vEM data processing.
Jibin Yang +7 more
wiley +1 more source
GAN-TL: Generative Adversarial Networks with Transfer Learning for MRI Reconstruction
Applied Sciences, 2022 Generative adversarial networks (GAN), which are fueled by deep learning, are an efficient technique for image reconstruction using under-sampled MR data.
Muhammad Yaqub +6 more
doaj +1 more source
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 +20 more
core +1 more source
Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine
Advanced Science, EarlyView.This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan +24 more
wiley +1 more source
Vibrotactile Quality Assessment: Hybrid Metric Design Based on SNR and SSIM
IEEE transactions on multimedia, 2020 The emerging mulsemedia (MULtiple SEnsorial MEDIA) introduces new sensorial data (haptic, olfaction, gustation, etc.), significantly augmenting the conventional audio-visual communication.
Xun Liu, M. Dohler, Yansha Deng
semanticscholar +1 more source
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source