Validation of Image Compression Algorithms using Neural Network

Nikhilesh Joshi; Tanuja K. Sarode

Research Article

Validation of Image Compression Algorithms using Neural Network

by Nikhilesh Joshi, Tanuja K. Sarode

International Journal of Computer Applications

Foundation of Computer Science (FCS), NY, USA

Volume 179 - Issue 12

Published: Jan 2018

Authors: Nikhilesh Joshi, Tanuja K. Sarode

10.5120/ijca2018916127

PDF

Nikhilesh Joshi, Tanuja K. Sarode . Validation of Image Compression Algorithms using Neural Network. International Journal of Computer Applications. 179, 12 (Jan 2018), 1-8. DOI=10.5120/ijca2018916127

                        @article{ 10.5120/ijca2018916127,
                        author  = { Nikhilesh Joshi,Tanuja K. Sarode },
                        title   = { Validation of Image Compression Algorithms using Neural Network },
                        journal = { International Journal of Computer Applications },
                        year    = { 2018 },
                        volume  = { 179 },
                        number  = { 12 },
                        pages   = { 1-8 },
                        doi     = { 10.5120/ijca2018916127 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }

                        %0 Journal Article
                        %D 2018
                        %A Nikhilesh Joshi
                        %A Tanuja K. Sarode
                        %T Validation of Image Compression Algorithms using Neural Network%T 
                        %J International Journal of Computer Applications
                        %V 179
                        %N 12
                        %P 1-8
                        %R 10.5120/ijca2018916127
                        %I Foundation of Computer Science (FCS), NY, USA

Abstract

We live in Digital Era where information is generated at rapid space. Images constitute a major part of information. It becomes essential to use image compression techniques in order to reduce storage space and transmission bandwidth. Image compression algorithm can be validated using Neural Network. In this paper various methods of Image compression such as BTC, DCT, DWT are optimized and Validate using neural network. This is achieved by comparing methods based on set of parameters. . The resultant compression metrics are calculated and visual quality of image is analyzed. Neural network implementation is done based on two different methods desired matrix and entropy based method. Experimental analysis shows 60 % reduction in storage space requirement and effective optimization using different methodology.

References

Rafael C. Gonalez, Richard E.Woods “Digital Image Compression” 3rd Edition, Prentice Hall.
E. J.Delp, O R. Mitchelle “ Image Compression using Block truncation Coding” IEEE Transaction Communication 27(9) (1979) 1335-1342
M. D. Lema, O.R . Mitchelle “Absolute Moment Block ytruncation Coding and its Application to Color Images” IEEE Transcaction Communication Vol COM-32, No.10, pp1148-1157 Oct 1984
S.C .Cheng, W.S.Tsai “ Image Compression by moment-preserving edge detection” Pattern Recognition 27 (11) pp.1439- 1449
U.Y Desai, M.M. Muzuki, B.K.P.Horn “Edge and mean based Compression” MIT Artifical Intelligence Laboratory AI Memo No.1584,November 1996.
T.M.Ammarunnishad, V.K Govindan, T.M Abraham ” Improving BTC Image Compression using a Fuzzy Complement Edge operator”Signal Processing Letters, Vol 88. Issue 12 December 2008 pp. 2989-2997
T.M.Ammarunnishad, V.K Govindan, T.M Abraham “ A Fuzzy Complement edge operator “ IEEE proceeding of the Fourteen International Conference on Advance Computing and Communication Mangalore, Karnataka, India December 2006
Aditya Kumar, Pradeep Singh “ Futuristic Algorithm for Gray Scale Image Based on Enhanced Block Truncation Coding” International Journal of Computer Information system Vol 2 No.5 pp 53-60 ,2011
Jaymol Mathews, Madhu S Nair, Liza Jo ” Modified BTC Algorithm for Gray Scale Images Using max-min Quantizer” IEEE Transaction 2013 pp 377-382
Manish Gupta, Dr. Anil Kumar Garg “Analysis of Image Compression Algorithm Using DCT”, International Journal of Engineering Research and Applications ISSN:2248-9662, Vol 2 Issue 1 Jan-Feb2012 pp 515-521
Mahinderpal Singh, Meenakshi Garg “Mixed DWT-DCT Approached Based Image Compression Technique” International Journal of Engineering and Computer Science ISSN:2319-7242, Vol 3 Issue 11 November 2014 pp 9107-9111
Bhavna Sagwan, Mukesh Sharma, Krishan Gupta “RGB based KMB Image Compression Technique” International Conference on Reliability, Optimization and Information Technology Feb 2014
and Applications ISSN:2248-9662, Vol 2 Issue 1 Jan-Feb2012 pp 515-521
Mahinderpal Singh, Meenakshi Garg “Mixed DWT-DCT Approached Based Image Compression Technique” International Journal of Engineering and Computer Science ISSN:2319-7242, Vol 3 Issue 11 November 2014 pp 9107-9111
Bhavna Sagwan, Mukesh Sharma, Krishan Gupta “RGB based KMB Image Compression Technique” International Conference on Reliability, Optimization and Information Technology Feb 2014
M.Singh and M Garg, “Mixed DWT DCT Approached Based Image Compression technique ” International Journal of Engineering and Computer Science ISSN 2319-7242 volume 3 Issue 11 Nov 2014page 9008 -9111.

Index Terms

Computer Science

Information Sciences

No index terms available.

Keywords

Image Compression Entropy Block Truncation Coding Discrete Cosine Transform(DCT) Discrete wavelet tranform(DWT Image Quality Metrics Neural Network Back propogation.