Classical vs. neural network-based PCA approaches for lossy image compression: Similarities and differences

K Bartecki - Applied Soft Computing, 2024 - Elsevier
The paper describes three lossy data compression techniques based on the principal
component analysis (PCA), which are compared using the image compression task. The …

[PDF][PDF] Image compression using neural networks and Haar wavelet

A Khashman, K Dimililer - WSEAS Transactions on Signal Processing, 2008 - wseas.us
Wavelet-based image compression provides substantial improvements in picture quality at
higher compression ratios. Haar wavelet transform based compression is one of the …

A new approach to designing interpretable models of dynamic systems

K Łapa, A Przybył, K Cpałka - … on Artificial Intelligence and Soft Computing, 2013 - Springer
In the process of designing automatic control system it is very important to have an accurate
model of the controlled process. Approaches to modelling dynamic systems presented in the …

A new method for designing and complexity reduction of neuro-fuzzy systems for nonlinear modelling

K Łapa, M Zalasiński, K Cpałka - International Conference on Artificial …, 2013 - Springer
In this paper we propose a new method for evolutionary selection of parameters and
structure of neuro-fuzzy system for nonlinear modelling. This method allows maintain the …

Medical radiographs compression using neural networks and haar wavelet

A Khashman, K Dimililer - IEEE EUROCON 2009, 2009 - ieeexplore.ieee.org
Efficient storage and transmission of medical images in telemedicine is of utmost importance
however, this efficiency can be hindered due to storage capacity and constraints on …

Video compression algorithm based on neural network structures

M Knop, R Cierniak, N Shah - … , ICAISC 2014, Zakopane, Poland, June 1-5 …, 2014 - Springer
The presented here paper describes a new approach to the video compression problem.
Our method uses the neural network image compression algorithm which is based on the …

Video compression algorithm based on neural networks

R Cierniak, M Knop - International Conference on Artificial Intelligence and …, 2013 - Springer
This paper describes a concept of algorithm dedicated to video compression. In our
approach we use an algorithm named the predictive vector quantization (PVQ). Into this …

Neural video compression based on RBM scene change detection algorithm

M Knop, T Kapuściński, WK Mleczko… - Artificial Intelligence and …, 2016 - Springer
Video and image compression technology has evolved into a highly developed field of
computer vision. It is used in a wide range of applications like HDTV, video transmission …

Neural video compression algorithm

M Knop, P Dobosz - Image Processing & Communications Challenges 6, 2015 - Springer
In this paper, we present and discuss experimental results of a new concept of algorithm for
video compression. It is named Predictive Vector Quantization (PVQ) and incorporates …

Computed tomography images denoising with Markov random field model parametrized by Prewitt mask

M Knas, R Cierniak - Image Processing & Communications Challenges 6, 2015 - Springer
A denoising algorithm for computed tomography images is proposed. The presented method
of noise reduction uses Markov Random Field (MRF) model, Gaussian filter and adaptive …