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Analysis of Efficiently Lossless Compression of Color Image by using Deferent Algorithms

by Siddharth Sinha, Ayoush Johari
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 13
Year of Publication: 2015
Authors: Siddharth Sinha, Ayoush Johari
10.5120/19248-0888

Siddharth Sinha, Ayoush Johari . Analysis of Efficiently Lossless Compression of Color Image by using Deferent Algorithms. International Journal of Computer Applications. 109, 13 ( January 2015), 18-22. DOI=10.5120/19248-0888

@article{ 10.5120/19248-0888,
author = { Siddharth Sinha, Ayoush Johari },
title = { Analysis of Efficiently Lossless Compression of Color Image by using Deferent Algorithms },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 13 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number13/19248-0888/ },
doi = { 10.5120/19248-0888 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:44:42.227856+05:30
%A Siddharth Sinha
%A Ayoush Johari
%T Analysis of Efficiently Lossless Compression of Color Image by using Deferent Algorithms
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 13
%P 18-22
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Digital Color Image required large amount of space to store and large bandwidth to transmit it. Due to limitations in bandwidth and in storage space, it is vital requirement to compresses digital color image. Color image compression is required with negligible loss in image quality for the effective use of further restored image. To meet this, numerous image compression techniques are developed in last several years. This paper analyses these techniques and presents a compression among them to find out the best method for digital color image compression. The objective of this paper is also to find out the best approach for developing new way of digital color image compression with minimum loss in image quality.

References
  1. Kumar, S. , and Sood, V. , Quality Assessment of colour image compression using Haar Wavelet Transform, International Journal of Engineering Trends and Technology, 266-269, 2012.
  2. Kekre, H. B. , Sarode, T. , and Natu, P. , Image Compression Using Real Fourier Transform, Its wavelet Transform and Hybrid Wavelet Transform, International Journal of Advanced Computer science and Application, 2013.
  3. Sunil, Kumar, V. V. , and Reddy, M. I. S, Image compression technique by using wavelet transform, journal of Information Engineering and applications, 2012.
  4. Nadenau, M. J. , Reichel, J. , and Kunt, M. , Wavelet Based Colour Image Compression: Exploiting the Contrast Sensitivity Function, IEEE Transactions Image Processing.
  5. Hekre, H. B. , Sudeep, D. , Thepade, and Parkar, A. , A Comparison of Haar Wavelets and Kekre?s Wavelets for Storing Colour Informationin a Greyscale Image, International Journal of Computer Applications (IJCA),32-38, 2010.
  6. Hekre, H. B. , Sudeep, D. , Thepade, and Maloo, A. , Performance Comparison of Image Retrieval Techniques using Wavelet Pyramids ofWalsh, Haar and Kekre Transforms, International Journal of Computer Applications (IJCA), 1-8, 2010.
  7. Hekre, H. B. , Sudeep, D. , Thepade, and Maloo, A. , Face Recognition using Texture Features Extracted form Walshlet Pyramid, ACEEE International Journal on Recent Trends in Engineering and Technology (IJRTET), 2010.
  8. Hekre, H. B. , Sudeep, D. , Thepade, and Maloo, A. , Face Recognition using Texture Features Extracted from Haarlet Pyramid, International Journal of Computer Applications (IJCA), 41-45, 2010.
  9. Hekre, H. B. , Sudeep, D. , Thepade, and Natu, P. , Image Compression based on Hybrid wavelet transform generated using orthogonal component transform of different sizes, International Journal of soft computing and Engineering, 2013.
  10. Walsh, J. L. , A Closed Set of Orthogonal Functions, AmericanJournal of Mathematics, 5-24, 1923.
  11. Ahmed, N. , Natarajan, T. , and Rao, K. R. , Discrete CosineTransform, IEEE Transaction Computers, 90-93, 1974.
  12. Chen, W. , Smith, C. H. , and Fralick, S. C. , A Fast Computational Algorithm For The Discrete Cosine Transform, IEEE Transaction Communications, 1004-1008, 1977.
  13. Kekre, H. B. , and Thepade, S. D. , Image Retrieval using Non-Involutional Orthogonal Kekre's Transform, International Journal of Multidisciplinary Research and Advances in Engineering (IJMRAE), 189-203, 2009.
  14. Kekre, H. B. , and Thepade, S. D. , Athawale, A. , Anant S. , Prathamesh V. , and Suraj S. , Kekre Transform over Row Mean, Column Mean and Both using Image Tiling for Image Retrieval, International Journal of Computer and Electrical Engineering (IJCEE), 964-971, 2010.
  15. Hartley, R. V. L. , A more symmetrical Fourier analysis applied to transmission problems, Proceedings of IRE 30, 144–150, 1942.
Index Terms

Computer Science
Information Sciences

Keywords

Electrocardiogram Baseline Wander Noise FIR Filter IIR Filter Independent Component Analysis.

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