Results 61 to 70 of about 47,227 (224)
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
Similarity Algorithm of Spatio-temporal Data Based on Trend Surface and SSIM [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem of spatio-temporal data similarity evaluation with fixed spatial position and trend of attribute value trend,based on the Biharmonic spline to establish the trend surface,a new spatio-temporal data similarity algorithm is proposed ...
LI Jianxun,TONG Rui,ZHANG Yongjin,TANG Zihao
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
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
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
From Microscale to Nanoscale Shadow Electrochemiluminescence Microscopy
Angewandte Chemie, EarlyView.In this research we report on the label‐free shadow electrochemiluminescence (shadow ECL) microscopy of microscale and nanoscale objects. By systematically investigating various influencing factors—including optical configuration, electrode activity, frame averaging, exposure time, and particle arrangement—we further confirm the nano‐imaging potential ...
Xiaodan Gou +5 more
wiley +2 more sources
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
, 2017 We propose a method for lossy image compression based on recurrent, convolutional neural networks that outperforms BPG (4:2:0 ), WebP, JPEG2000, and JPEG as measured by MS-SSIM.
Chinen, Troy +8 more
core +1 more source
Advanced Electronic Materials, EarlyView.ABSTRACT With the continuous development of computer image processing, developing efficient and low‐power computing devices has become a key challenge. Memristors have integrated in‐situ storage and computing capabilities, making them an ideal choice for low‐power image processing computing architectures. However, current memristors are confronted with
Tengyu Li +4 more
wiley +1 more source
Enhanced Deep Residual Networks for Single Image Super-Resolution
, 2017 Recent research on super-resolution has progressed with the development of deep convolutional neural networks (DCNN). In particular, residual learning techniques exhibit improved performance.
Kim, Heewon +4 more
core +1 more source