Image Compression Technique Using a Hierarchical Neural Network

This paper present a Resilient Backpropagation (RBP) algorithm based on hierarchical neural network for image compression. The proposed technique includes steps to break down large images into smaller blocks for image compression/ decompression process. Furthermore, a Linear Backpropagation (LBP) al...

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Main Authors: Rafid Khalil, Mohammed Younis
Format: Article
Language:Arabic
Published: Mosul University 2006-12-01
Series:Al-Rafidain Journal of Computer Sciences and Mathematics
Subjects:
Online Access:https://csmj.mosuljournals.com/article_164055_02e9a9f3dccb1b35a52205c1cbe0dd89.pdf
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author Rafid Khalil
Mohammed Younis
author_facet Rafid Khalil
Mohammed Younis
author_sort Rafid Khalil
collection DOAJ
description This paper present a Resilient Backpropagation (RBP) algorithm based on hierarchical neural network for image compression. The proposed technique includes steps to break down large images into smaller blocks for image compression/ decompression process. Furthermore, a Linear Backpropagation (LBP) algorithm is also used to train hierarchical neural network, and both training algorithms are compared. A number of experiments have been achieved, the results obtained, are the compression rate and Peak Signal to Noise Ratio of the compressed/ decompressed images which are presented in this paper.
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spelling doaj.art-8a6c342734e9445192e30978bc16198d2022-12-22T03:09:20ZaraMosul UniversityAl-Rafidain Journal of Computer Sciences and Mathematics1815-48162311-79902006-12-01329911210.33899/csmj.2006.164055164055Image Compression Technique Using a Hierarchical Neural NetworkRafid Khalil0Mohammed Younis1College of engineering University of MosulDep. Of Computer science Al-Hadbaa University CollegeThis paper present a Resilient Backpropagation (RBP) algorithm based on hierarchical neural network for image compression. The proposed technique includes steps to break down large images into smaller blocks for image compression/ decompression process. Furthermore, a Linear Backpropagation (LBP) algorithm is also used to train hierarchical neural network, and both training algorithms are compared. A number of experiments have been achieved, the results obtained, are the compression rate and Peak Signal to Noise Ratio of the compressed/ decompressed images which are presented in this paper.https://csmj.mosuljournals.com/article_164055_02e9a9f3dccb1b35a52205c1cbe0dd89.pdfimage compressionresilient backpropagation (rbp) algorithmhierarchical neural networknoise
spellingShingle Rafid Khalil
Mohammed Younis
Image Compression Technique Using a Hierarchical Neural Network
Al-Rafidain Journal of Computer Sciences and Mathematics
image compression
resilient backpropagation (rbp) algorithm
hierarchical neural network
noise
title Image Compression Technique Using a Hierarchical Neural Network
title_full Image Compression Technique Using a Hierarchical Neural Network
title_fullStr Image Compression Technique Using a Hierarchical Neural Network
title_full_unstemmed Image Compression Technique Using a Hierarchical Neural Network
title_short Image Compression Technique Using a Hierarchical Neural Network
title_sort image compression technique using a hierarchical neural network
topic image compression
resilient backpropagation (rbp) algorithm
hierarchical neural network
noise
url https://csmj.mosuljournals.com/article_164055_02e9a9f3dccb1b35a52205c1cbe0dd89.pdf
work_keys_str_mv AT rafidkhalil imagecompressiontechniqueusingahierarchicalneuralnetwork
AT mohammedyounis imagecompressiontechniqueusingahierarchicalneuralnetwork