Optimal Wiener and homomorphic filtration
In this paper we analyze the methods of optimal restoration of signals and images from the
degradations that are defined by the additive noise and blurring effects. The Wiener filters …
degradations that are defined by the additive noise and blurring effects. The Wiener filters …
[PDF][PDF] Chebyshev functional link artificial neural networks for denoising of image corrupted by salt and pepper noise
Here we have presented an alternate ANN structure called functional link ANN (FLANN) for
image denoising. In contrast to a feed forward ANN structure ie a multilayer perceptron …
image denoising. In contrast to a feed forward ANN structure ie a multilayer perceptron …
Image Enhancer
M Kaur - 2021 9th International Conference on Reliability …, 2021 - ieeexplore.ieee.org
Image processing is done using machine learning algorithms and tools like OpenCV (short
for Open Computer Vision). This research paper shows an improved and convenient …
for Open Computer Vision). This research paper shows an improved and convenient …
[PDF][PDF] A comparative study and analysis of image restoration techniques using different images formats
A Kaur, V Chopra - International Journal for Science and Emerging …, 2012 - academia.edu
Image Restoration is a field of Image Processing which deals with recovering an original
and sharp image from a degraded image using a mathematical degradation and restoration …
and sharp image from a degraded image using a mathematical degradation and restoration …
Seismic denoising based on modified BP neural network
Y Zhang, X Tian, X Deng, Y Cao - 2010 Sixth International …, 2010 - ieeexplore.ieee.org
A new method for seismic random noise reduction based on robust function and back
propagation (BP) neural network is proposed in this paper. This method introduces BP …
propagation (BP) neural network is proposed in this paper. This method introduces BP …
Exponential functional link artificial neural networks for denoising of image corrupted by gaussian noise
Here we have presented an alternate ANN structure called functional link ANN (FLANN) for
image denoising. In contrast to a feed forward ANN structure ie a multilayer perceptron …
image denoising. In contrast to a feed forward ANN structure ie a multilayer perceptron …
[PDF][PDF] Blind image deconvolution technique for image restoration using ant colony optimization
A Kaur, V Chopra - Int. J. Comput. Appl. Inf. Technol, 2012 - ijcait.com
Image Restoration is a field of Image Processing which deals with recovering an original
and sharp image from a degraded image. Blind Image Deconvolution (BID) is a restoration …
and sharp image from a degraded image. Blind Image Deconvolution (BID) is a restoration …
Evolutionary neural network for noise cancellation in image data
A novel artificial neural network called as modified functional link artificial neural network
has been proposed for denoising of digital image corrupted with additive white Gaussian …
has been proposed for denoising of digital image corrupted with additive white Gaussian …
Functional link artificial neural networks filter for Gaussian noise
YH Guo, CL Huang - Applied Mechanics and Materials, 2013 - Trans Tech Publ
In this paper, FLANN (functional link ANN) filter is presented for Gaussian noise. FLANN is a
singer layer with expanded input vectors and has lower computational cost than MLP …
singer layer with expanded input vectors and has lower computational cost than MLP …
A robust hidden markov gauss mixture vector quantizer for a noisy source
Noise is ubiquitous in real life and changes image acquisition, communication, and
processing characteristics in an uncontrolled manner. Gaussian noise and Salt and Pepper …
processing characteristics in an uncontrolled manner. Gaussian noise and Salt and Pepper …