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

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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.