Soft sensor development based on kernel dynamic time war** and a relevant vector machine for unequal-length batch processes
K Qiu, J Wang, R Wang, Y Guo, L Zhao - Expert Systems with Applications, 2021 - Elsevier
The unequal-length problem in batch process data directly affects the performance of data-
driven soft sensors. Meanwhile, the nonlinearity and high dimensionality of batch process …
driven soft sensors. Meanwhile, the nonlinearity and high dimensionality of batch process …
De-noising of digital image correlation based on stationary wavelet transform
X Guo, Y Li, T Suo, J Liang - Optics and Lasers in Engineering, 2017 - Elsevier
In this paper, a stationary wavelet transform (SWT) based method is proposed to de-noise
the digital image with the light noise, and the SWT de-noise algorithm is presented after the …
the digital image with the light noise, and the SWT de-noise algorithm is presented after the …
[HTML][HTML] Stop** criterion during rendering of computer-generated images based on SVD-entropy
The estimation of image quality and noise perception still remains an important issue in
various image processing applications. It has also become a hot topic in the field of photo …
various image processing applications. It has also become a hot topic in the field of photo …
Perception-JND-driven path tracing for reducing sample budget
Z Shen, C Chen, R Zhang, H Yu, L Li - The Visual Computer, 2024 - Springer
Monte Carlo path tracing is a widely used method for generating realistic rendering results in
multimedia applications, but often suffers from poor convergence and heavy sampling …
multimedia applications, but often suffers from poor convergence and heavy sampling …
Guided-Generative Network for noise detection in Monte-Carlo rendering
Estimating the features to be extracted from an image for classification tasks are sometimes
difficult, especially if images are related to a particular kind of noise. The aim of this paper is …
difficult, especially if images are related to a particular kind of noise. The aim of this paper is …
Pooling spike neural network for fast rendering in global illumination
The generation of photo-realistic images is a major topic in computer graphics. By using the
principles of physical light propagation, images that are indistinguishable from real …
principles of physical light propagation, images that are indistinguishable from real …
A new kernel RLS algorithm for systems with bounded noise
I Constantin, J Constantin… - International Journal of …, 2018 - Wiley Online Library
In this paper, we propose a new nonlinear set‐membership recursive least‐squares
algorithm. The algorithm draws on a linear set‐membership filter in conjunction with kernels …
algorithm. The algorithm draws on a linear set‐membership filter in conjunction with kernels …
On the use of deep active semi-supervised learning for fast rendering in global illumination
Convolution neural networks usually require large labeled data-sets to construct accurate
models. However, in many real-world scenarios, such as global illumination, labeling data …
models. However, in many real-world scenarios, such as global illumination, labeling data …
Guided-Generative Network: A New Robust Deep Learning Architecture for Noise Characterization in Monte-Carlo Rendering
Current methods for generating realistic computer-generated images rely on stochastic
lighting simulation techniques based on a Monte Carlo approach. These Monte Carlo …
lighting simulation techniques based on a Monte Carlo approach. These Monte Carlo …
[PDF][PDF] Adaptive Noise Detection Using Texture Feature Extraction and Random Forest Classification.
AK Ganesh, A Kusagur - International Journal of Intelligent Engineering & …, 2018 - inass.org
Image noise detection is one of the most challenging aspect in the field of image processing
and analysis. Generally, the noise affects the information of image, especially when the …
and analysis. Generally, the noise affects the information of image, especially when the …