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Comparative Analysis of DWT and DCT Image Compressions Techniques using VHDL

Arvind Kumar, Arun Uniyal, Pawan Kumar. Published in Image Processing.

Communications on Applied Electronics
Year of Publication: 2015
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Arvind Kumar, Arun Uniyal, Pawan Kumar
10.5120/cae2015651828

Arvind Kumar, Arun Uniyal and Pawan Kumar. Article: Comparative Analysis of DWT and DCT Image Compressions Techniques using VHDL. Communications on Applied Electronics 2(8):20-24, September 2015. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Arvind Kumar and Arun Uniyal and Pawan Kumar},
	title = {Article: Comparative Analysis of DWT and DCT Image Compressions Techniques using VHDL},
	journal = {Communications on Applied Electronics},
	year = {2015},
	volume = {2},
	number = {8},
	pages = {20-24},
	month = {September},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Image compression is very important part of the digital image processing. Image compression is the method of reducing the size of image, which is helpful to increase the storage and transmission performance. In the compression method not only concentrate on reducing the size of image, but also concentrate on the quality and information of the image. Image compressions have more researched area, and many compression standards are place. But still here there is a scope for high compression quality; the JPEG and JPEG2000 standard make use of Discrete cosine transform DCT and Discrete Wavelet transform DWT for compression respectively. Discrete wavelet and Discrete cosine transforms are the common method used in image compression. Wavelet transform are very powerful as compared to Fourier transform, because it have ability to describe any type of signals both in time and frequency domain simultaneously. In this thesis two image compression methods are simulated, the first method is based on Discrete Wavelet transform (DWT), and second method is based on Discrete Cosine transform (DCT). The aim of the thesis as to compress an image using DWT and DCT encoding method, to implement DWT and DCT using VHDL and measure the performance in terms of memory utilization and timing parameters. The first part of the thesis presents an implementation of Discrete Wavelet Transform with HAAR Wavelet and the second part of the thesis presents an implementation of Discrete Cosine Transform. The performance will be measured in term of memory utilization and timing parameters.

References

  1. Anitha Mary and Dr .N.M. Nandhitha “VHDL design of lossy DWT based image compression technique for video conferencing” IJREAT International Journal of Research in Engineering & Advanced Technology, Volume 1, Issue 1, March, 2013.
  2. S. Jayaraman, S. Esakkirajan, T. Veerakuma “Digital Image Processing” published by TataMcGraw Hill Education Private Limited.
  3. Harmandeep Singh Chandi and V. K. Banga “2 Dimensional Image Compression using DCT and DWT Techniques” March 15-16, Pattaya, Thailand, IRISET ICEMCE'2013 and ICHCES’2013.
  4. Mohammed Mustafa Siddeq “Using Two Levels DWT with Limited Sequential Search Algorithm for Image Compression” Journal of Signal and Information Processing, vol. 3, pp. 51-62, February 2012.
  5. Ms. Yogita Sojitra and Prof.Abhishek Katariya “Performance Analysis of Image Compression a discrete wavelet Transform based Approach” International Journal of Scientific Engineering and Technology, Volume No.1, Issue No.3, pg:-63-66, 01 July 2012.
  6. Sonja Grgic and Mislav Grgic “Performance Analysis of Image Compression Using Wavelets”.IEEE TRANSACTIONON INDUSTRIAL ELECTRONICS, VOL. 48, NO. 3, JUNE 2001
  7. Er. Kanika, Dr. Naveen Dhillon and Er. Kuldeep Sharama “Comparative Analysis of Discrete Wavelet Transform and Fast Wavelet Transform on Image compression”. International Journal of Engineering Research & Technology (IJERT). Vol. 1 Issue 5, July – 2012.
  8. Nivedita, Pradeep Singh and Sonika Jindal “A Comparative Study of DCT and DWT-SPIHT” IJCEM International Journal of Computational Engineering & Management, Vol. 15 Issue 2, March 2012.

Keywords

DWT, DCT, VHDL, JPEG2000, etc