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 …

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 …

[HTML][HTML] Stop** criterion during rendering of computer-generated images based on SVD-entropy

J Buisine, A Bigand, R Synave, S Delepoulle… - Entropy, 2021 - mdpi.com
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 …

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 …

Guided-Generative Network for noise detection in Monte-Carlo rendering

J Buisine, F Teytaud, S Delepoulle… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
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 …

Pooling spike neural network for fast rendering in global illumination

J Constantin, A Bigand, I Constantin - Neural Computing and Applications, 2020 - Springer
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 …

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 …

On the use of deep active semi-supervised learning for fast rendering in global illumination

I Constantin, J Constantin, A Bigand - Journal of Imaging, 2020 - mdpi.com
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 …

Guided-Generative Network: A New Robust Deep Learning Architecture for Noise Characterization in Monte-Carlo Rendering

J Buisine, F Teytaud, S Delepoulle… - … Applications, Volume 4, 2022 - Springer
Current methods for generating realistic computer-generated images rely on stochastic
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 …