Study and Survey on Image Compression Techniques
Keywords:Image Compression, Adaptive Binary Optimization (ABO), Repetition and Correlation Coding (RCC)
In the Modern World, image is the important source for new technologies. The image compression is one of the important techniques which play a vital role in many applications. This paper presents the study of various image compression techniques which are used in the different Image Processing Applications. The advancement in the computer vision increases the demand of high data transmission speed also there is a need of large storage space. So, the image compression field is a necessary one for such applications where high volume of data is required to store and transmit. This paper focuses on the area of image compression, advantages of image compression, types of image compression and its different types of techniques. In addition to that, one of the new lossless image compression techniques ABO is explained. In this paper, it gives the overview of the ABO Framework and the ABO mechanism.
K.A.K. Nihal and A.M. Shanavas, “A Survey and Study of Image Compression Methods,”IOSR Journal of Computer Engineering, Vol.16, No.4, pp. 11-16, August 2014.
Lecture2, uotechnology, [Online] Available at:http://uotechnology.edu.iq/ce/lecture%202013n/4th%20Image%20 Processing%20_Lectures/DIP_Lecture2.pdf. Accessed 22 January 2019.
A. Kaur and J. Singh, “Review on Image Compression Techniques and Advantages of Image Compression”, International Journal of Advance Research in Science and Engineering, Vol.5, August 2016.
K. Kapoor and H. Kaushik, “Review Paper on Various Image Compression Techniques”, International Journal of All Research Education and Scientific Methods, Vol. 6, No. 7, pp. 30-35, July 2018.
F.I. Khandwani and P.E. Ajmire, “A Survey of Lossless Image Compression Techniques”, International Journal of Electrical Electronics and Computer Science Engineering, Vol. 5, No.1,pp. 39-42, February 2018.
A.K. Singh and A.K. Malviya, “A Survey on Image Compression Methods”, International Journal of Engineering and Computer Science, Vol. 6, No. 5, pp. 21393-21400, May 2017.
G. Vijayvargiya, D.S. Silakari and D. Pandey, “A Survey: Various Techniques of Image Compression”, International Journal of Computer Science and Information Security, Vol. 11, No. 10, October 2013.
A.B. Kaimal, S. Manimurugan and C. Devadass, “Image Compression Techniques: A Survey”, International Journal of Engineering Inventions, Vol. 2, No. 4, pp. 26-28, February 2013.
P.B. Pokle and N.G. Bawane, “Comparative Study of Various Image Compression Techniques”, International Journal of Scientific and Engineering Research, Vol. 4, No. 5, pp. 1902-1908, May 2013.
D.V. Rojatkar, N.D. Borkar, B.R. Naik and R.N. Peddiwar, “Image Compression Techniques: Lossy and Lossless”, International Journal of Engineering Research and General Science, Vol. 3, No. 2, pp. 912-917, April 2015.
A.R.M. Shanavas and M. Shameera, “Secured Lossless Medical Image Compression Based On Adaptive Binary Optimization”, IOSR Journal of Computer Engineering, Vol. 16, No. 2, pp. 43-47, April 2014.
M. Shameera and A.R.M. Shanavas, “Analysis of Adaptive Binary Optimization for Lossless Medical Image Compression”, International Journal of Engineering Research and Technology, Vol. 3, No. 7, pp. 1221-1224, July 2014.