Image Compression and Lightweight Android Apps

Authors

  • Rajat Jhakal  Computer Engineering, Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India
  • Rishika Nagar  Computer Engineering, Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India
  • Rashi Jain  Computer Engineering, Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India

Keywords:

Image Scaling, Android OS, Application, Memory Consumption, Color Quantization, Predictive coding, Image Compression

Abstract

In Android operating system, to achieve greater performance efficient memory allocation and consumption is required. It is very important to efficiently use and manage the internal and external memory space present inside the mobile operating system. Various techniques have been used and implemented to reduce the memory usage in android. One of the techniques for better utilization of memory is image compression in android. The objective of image compression is to reduce the redundancy of the image and to store or transmit data in an efficient form. Based on this compression will be done on image by keeping its quality intact and the possibility of data loss will be minimal.

References

  1. Robert D. Dony, Simon Haykin, Neural Network Approaches to Image Compression, Proceedings of the IEEE, vol. 83, no. 2, February 1995.
  2. http://developer.android.com/guide/practices/screens_support.html
  3. http://www.ccbirding.com/dcsig/howto/dpi/dpi.pdf
  4. Ming-Bo Lin, Jang-Feng Lee, and Gene Eu Jan, “A Lossless Data Compression and Decompression Algorithm and Its Hardware Architecture,” IEEE Trans. Very Large Scale Integer. (VLSI) Syst., vol. 14, no. 9, pp 925-936, September 2006.
  5. Mamta Sharma, ??? Compression Using Huffman Coding???, IJCSNS International Journal of Computer Science and Network Security, Vol.10 No.5, May 2010.
  6. http://www.higherpass.com/Android/Tutorials/Working-With-Images-In-Android/3/
  7. http://developer.sonymobile.com/2011/0627/how-to-scale-images-for-your-ndroid-application/
  8. http://en.wikipedia.org/wiki/Image_file_formats
  9. http://stefan222devel.blogspot.in/2012/10/android-screen-densities-sizes.html
  10. R. N. Neelamani, R. Queiroz, Z. Fan, and R. Baraniuk (2006), JPEG Compression History Estimation for Color Images, IEEE Transactions on image processing, Vol. 15 No. 6, pp. 1365-1378
  11. Y. Sirisathikul, S. Auwatanamongkol, and B. Uyyanonvara (2004), Fast Color Image Quantization Using Distance between Adjacent Colors along the Color Axis with the Highest Color Variance, Pattern Recognition Letter, Vol. 25, No. 9, pp. 1025-1043.

International Journal of Scientific Research in Science and Technology

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Published

2018-03-25

Issue

Volume 4, Issue 6, March-April-2018

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rajat Jhakal, Rishika Nagar, Rashi Jain, " Image Compression and Lightweight Android Apps, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 6, pp.10-15, March-April-2018.