An Enhanced Approach for Video Compression

Authors

  • S. Pandiammal  M.Phil Scholar, Department of Computer Applications, Alagappa University,Karaikudi,India
  • K. Rajalakshmi  PhD Research Scholar, Department of Computer Applications, Alagappa University, Karaikudi, India
  • Dr. K. Mahesh  Professor, Department of Computer Applications, Alagappa University, Karaikudi, India

Keywords:

Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT).

Abstract

Video compression technique is now mature as is proven by the large number of applications that make use of DWT and DCT technology. Now day’s lot of video compression techniques proposed. With efficient compression techniques, a significant reduction in file size can be achieved with little or no adverse effect on the visual quality.This paper gives the idea about for video compression technique but not very much good for the real time video compression techniques either have a demerit of loosely techniques like DCT and DWT but here we are going to present a noble technique in which we will use object position change finding algorithm to get our video process in real time and having lossless decompressions. Compression is done in real time, such a way while maintaining the benefits of keeping all of the information of the source and also the benefits of compression during the production process[1]. "Lossless" means that the output from the decompressor is bit-for-bit identical with the original input to the compressor. The decompressed video stream should be completely identical to original. In addition to providing improved coding efficiency in real time the technique provides the ability to selectively encode, decode, and manipulate individual objects in a video stream. The technique used results in video coding that a high compression ratio can be obtained without any loss in data in real time.

References

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
S. Pandiammal, K. Rajalakshmi, Dr. K. Mahesh, " An Enhanced Approach for Video Compression, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.167-173, January-February-2018.