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  Published Paper Details:

  Paper Title

IMAGE COMPRESSION USING NEURAL NETWORK APPROACH

  Authors

  Dr. H S Prasantha

  Keywords

Artificial Neural Network, compression ratio, Back propagation, learning algorithm, Training

  Abstract


Image compression aims at reducing the number of bits required to represent an image by removing the spatial and spectral redundancies as much as possible. The focus of the research work is only on still image compression. The lossy compression methods which give higher compression ratio are considered in the research work. Inter-pixel relationship is highly non-linear and unpredicted in the absence of a prior knowledge of the image itself. Thus Artificial Neural Networks (ANN) has been used here for image compression by training the network using the image to be compressed. The ANN takes into account the psycho-visual features, dependent mostly on the information contained in images. The algorithms, on application on the image data while working in a lossy manner and maximize the compression performance. The ANN algorithm used here is the �Error Back -propagation algorithm�.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2008278

  Paper ID - 198066

  Page Number(s) - 2510-2514

  Pubished in - Volume 8 | Issue 8 | August 2020

  DOI (Digital Object Identifier) -    http://doi.one/10.1729/Journal.24294

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr. H S Prasantha,   "IMAGE COMPRESSION USING NEURAL NETWORK APPROACH", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.8, Issue 8, pp.2510-2514, August 2020, Available at :http://www.ijcrt.org/papers/IJCRT2008278.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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