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An Effective Analysis of Image Processing with Deep Learning Algorithms

by G. Thippanna, and M. Devi Priya, T. Adithay Sai Srinivas
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 27
Year of Publication: 2023
Authors: G. Thippanna, and M. Devi Priya, T. Adithay Sai Srinivas
10.5120/ijca2023923014

G. Thippanna, and M. Devi Priya, T. Adithay Sai Srinivas . An Effective Analysis of Image Processing with Deep Learning Algorithms. International Journal of Computer Applications. 185, 27 ( Aug 2023), 1-5. DOI=10.5120/ijca2023923014

@article{ 10.5120/ijca2023923014,
author = { G. Thippanna, and M. Devi Priya, T. Adithay Sai Srinivas },
title = { An Effective Analysis of Image Processing with Deep Learning Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2023 },
volume = { 185 },
number = { 27 },
month = { Aug },
year = { 2023 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number27/32857-2023923014/ },
doi = { 10.5120/ijca2023923014 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:27:09.364344+05:30
%A G. Thippanna
%A and M. Devi Priya
%A T. Adithay Sai Srinivas
%T An Effective Analysis of Image Processing with Deep Learning Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 27
%P 1-5
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image processing finds applications in various fields, including medicine, remote sensing, surveillance, entertainment, and scientific research by using various algorithms and techniques. It involves transforming, enhancing, and extracting information from images to improve their quality, interpret their content, or make them suitable for specific applications.Deep learning algorithms are designed to automatically learn hierarchical representations of data through multiple layers of interconnected artificial neurons, known as artificial neural networks. These networks are organized into input, hidden, and output layers, with each layer consisting of numerous interconnected nodes or units called neurons. Each neuron applies a mathematical operation to the inputs it receives and passes the result to the next layer.When deep learning algorithms are applied to image processing, they can perform a wide range of tasks such as image classification, object detection, image segmentation, image generation, and image enhancement.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Convolution Neural Networks (CNNs) Long Short Term Memory Networks Recurrent Neural Networks (RNNs) Deep Belief Networks Restricted Boltzmann Machines

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