Blur identification by multilayer neural network based on multivalued neurons
A multilayer neural network based on multivalued neurons (MLMVN) is a neural network
with a traditional feedforward architecture. At the same time, this network has a number of …
with a traditional feedforward architecture. At the same time, this network has a number of …
[PDF][PDF] A novel method of image restoration by using different types of filtering techniques
A Maurya, R Tiwari - International Journal of Engineering Science and …, 2014 - Citeseer
Image restoration is an important issue in high level image processing which deals with
recovering of an original and sharp image using a degradation and restoration model …
recovering of an original and sharp image using a degradation and restoration model …
[PDF][PDF] Review on some methods used in image restoration
RF Abbas - International multidisciplinary research journal, 2020 - researchgate.net
The restoration image is manner of mending the inventive image by eradicating noise and
fuzziness from image. Image fuzziness is troublesome to shun in several things similar …
fuzziness from image. Image fuzziness is troublesome to shun in several things similar …
[PDF][PDF] Implementation and analysis of image restoration techniques
C Khare, KK Nagwanshi - … of Computer Trends and Technology-May …, 2011 - academia.edu
IMAGE restoration is an important issue in high-level image processing. Images are often
degraded during the data acquisition process. The degradation may involve blurring …
degraded during the data acquisition process. The degradation may involve blurring …
Artificial neural networks using complex numbers and phase encoded weights
HE Michel, AAS Awwal - Applied optics, 2010 - opg.optica.org
The model of a simple perceptron using phase-encoded inputs and complex-valued weights
is proposed. The aggregation function, activation function, and learning rule for the …
is proposed. The aggregation function, activation function, and learning rule for the …
Blur identification using neural network for image restoration
A prior knowledge about the distorting operator and its parameters is of crucial importance in
blurred image restoration. In this paper the continuous-valued multilayer neural network …
blurred image restoration. In this paper the continuous-valued multilayer neural network …
Recognition of blurred images using multilayer neural network based on multi-valued neurons
I Aizenberg, S Alexander… - 2011 41st IEEE …, 2011 - ieeexplore.ieee.org
In this paper, we consider a problem of blurred image recognition using a multilayer neural
network based on multi-valued neurons (MLMVN). Recognition of blurred images is a …
network based on multi-valued neurons (MLMVN). Recognition of blurred images is a …
Case studies in software reuse
AJ Incorvaia, AM Davis, RE Fairley - Proceedings Fourteenth Annual …, 1990 - computer.org
In this paper, we consider a problem of blurred image recognition using a multilayer neural
network based on multi-valued neurons (MLMVN). Recognition of blurred images is a …
network based on multi-valued neurons (MLMVN). Recognition of blurred images is a …
Adaptive Bi-nonlinear Neural Networks Based on Complex Numbers with Weights Constrained Along the Unit Circle
Traditional real-valued neural networks can suppress neural inputs by setting the weights to
zero or overshadow other inputs by using extreme weight values. Large network weights are …
zero or overshadow other inputs by using extreme weight values. Large network weights are …
Solving selected classification problems in bioinformatics using multilayer neural network based on multi-valued neurons (MLMVN)
I Aizenberg, JM Zurada - International Conference on Artificial Neural …, 2007 - Springer
A multilayer neural network based on multi-valued neurons (MLMVN) is a new powerful tool
for solving classification, recognition and prediction problems. This network has a number of …
for solving classification, recognition and prediction problems. This network has a number of …