Implementation of Block Truncation Algorithm

Sandhya J. *, Myvizhi Selvi V. **, Rashmi A. ***
*-*** Department of Electronics and Communication Engineering, Sri Sairam Engineering College, Chennai, Tamilnadu, India.
Periodicity:October - December'2020
DOI : https://doi.org/10.26634/jse.15.2.18231

Abstract

Due to the growing necessities for transmission of images through Internet, the studies in the area of photo compression has multiplied significantly. Image compression performs a vital role in virtual photo processing, and it is also very crucial for green transmission and storage of pictures. When computing the quantity of bits with photo attributable to usual sampling and quantization methods, image compression is needed. In this paper, the image compression has been implemented using block truncation method simulated with MATLAB software. The peak signal to noise ratio (PSNR), bitrate for the Block Truncation Coding (BTC) and Enhanced Block Truncation Coding (EBTC) technique has been studied.

Keywords

Image Compression, Block Truncation Coding, Compression Ratio, Mean Square Error, Peak Signal To Noise Ratio.

How to Cite this Article?

Sandhya, J., Selvi, V. M., and Rashmi, A. (2020). Implementation of Block Truncation Algorithm. i-manager's Journal on Software Engineering, 15(2), 1-8. https://doi.org/10.26634/jse.15.2.18231

References

[1]. Delp, E., & Mitchell, O. R. (1979). Image compression using block truncation coding. IEEE Transactions on Communications, 27(9), 1335-1342. https://doi.org/10.11 09/TCOM.1979.1094560
[2]. Delp, E.J, Saenz, M., & Salama, P. (2005). Block truncation coding. In A.l. Bovik (Ed.), Hand book of Image and Video Processing, Elsevier Academic Press. Retrieved from https://www.cerias.purdue.edu/assets/pdf/bibtex_ archive/2001-117-report.pdf
[2]. Elsayed, H. A. (2014, December). Burrows-Wheeler transform and combination of move-to-front coding and run length encoding for lossless audio coding. In 9th International Conference on Computer Engineering & Systems (ICCES) (pp. 354-359). IEEE. https://doi.org/10.110 9/ICCES.2014.7030985
[3]. Gonzalez, R. C., Woods, R. E., & Eddins, S. L. (2004). Digital image processing using MATLAB (1st ed.). Upper Saddle River, NJ: Pearson/Prentice Hall.
[4]. Jain, A. K. (1989). Fundamentals of digital image processing. Englewood Cliffs, NJ: Prentice Hall.
[5]. Merkl, F. J. (1988). Binary image compression using run length encoding and multiple scanning techniques (Postgraduate Dissertation). Rochester Institute of Technology, Newyork. https://scholarworks.rit.edu/theses/ 184
[6]. Mitchell, O. R., Delp, E. J., & Carlton, S. G. (1978). Block truncation coding: A new approach to image compression. In Proceedings of the IEEE International Conference on Communications, Vol. 1, pp. 12B.1.1- 12B.1.4
[7]. Russ, J. C. (2006). The image processing handbook (5th ed.). FL: CRC Press.
[8]. Vinayak, V., & Jindal, S. (2017). CBIR system using color moment and color auto-Correlogram with block truncation coding. International Journal of Computer Applications, 161(9), 1-7. https://doi.org/10.5120/ijca2017 913282
[9]. Voloshynovskiy, S., Herrigel, A., Baumgaertner, N., & Pun, T. (1999, September). A stochastic approach to content adaptive digital image watermarking. In International Workshop on Information Hiding (pp. 211- 236). Heidelberg, Berlin: Springer. https://doi.org/10.1007/1 0719724_16
[10]. Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004). Image quality assessment: From error measurement to structural similarity. IEEE Transactions on Image Processing, 13(4), 1-14. https:/doi.org/10.1109/TIP.2003.81 9861
[11]. Yamsang, N., & Udomhunsakul, S. (2009). Image quality scale (IQS) for compressed images quality measurement. In Proceedings of the International Multiconference of Engineers and Computer Scientists (pp. 789-794).
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.