Implementation on Image Compression and Using Vector Quantization and Other Efficient Algorithms

Authors

  • Mr. Surya Pratap Singh Research Scholar, SRK University, Bhopal
  • Dr. Bharti Chourasia Head EC Department, SRK University Bhopal

Keywords:

Image Compression, Vector Quantization, Digital Communication, Sensors

Abstract

For all the purposes, capable, cross breed coding compression frameworks have now been developed, which consolidate the advantages of different traditional image coding techniques. Exploratory findings demonstrate that the current compression plans will de-associate knowledge dependency in both the space and the space areas in a constructive and sufficient way. The best basic compression ratio as compared and the newest lossless Bayer compression plans are then offered. The Lossy compression image plans are repeated in the same rate as the new SSACI compression strategy, using improved visual clarity, less impeding antiques and better PSNR.

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Published

2018-07-02

How to Cite

[1]
“Implementation on Image Compression and Using Vector Quantization and Other Efficient Algorithms”, JASRAE, vol. 15, no. 5, pp. 810–817, Jul. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14934

How to Cite

[1]
“Implementation on Image Compression and Using Vector Quantization and Other Efficient Algorithms”, JASRAE, vol. 15, no. 5, pp. 810–817, Jul. 2018, Accessed: Sep. 19, 2024. [Online]. Available: https://ignited.in/index.php/jasrae/article/view/14934