conference paper · AIP conference proceedings · 2022

A survey on VLSI architecture and design for data compression

Jaimy James Poovely, D. Raveena Judie Dolly, S Chinnu, Archana Aniyan

Cited by 3Abstract and details only

Abstract

In today's world data processing is very important. Also, the size of the data should be made as small as possible while considering the size of the device, area utilization, power consumption, etc. So we go for data compression, where after data compression it requires less space. Data can be an image or text. The compression techniques are different for image and text. Along with compression, the security of data is essential in today's applications. After the compression of input image compression, some of the data will be reduced in a lossless or lossy way. This paper summarizes different algorithms for data compression that are implemented in hardware, mainly FPGA.

Cite this paper

APA 7

Poovely, J. J., Dolly, D. R. J., Chinnu, S., & Aniyan, A. (2022). A survey on VLSI architecture and design for data compression. AIP conference proceedings, 2686, 040001. https://doi.org/10.1063/5.0115405

MLA 9

Poovely, Jaimy James, et al. “A survey on VLSI architecture and design for data compression.” AIP conference proceedings, vol. 2686, 2022, p. 040001, https://doi.org/10.1063/5.0115405.

Chicago

Poovely, Jaimy James, D. Raveena Judie Dolly, S Chinnu, and Archana Aniyan. 2022. “A survey on VLSI architecture and design for data compression.” AIP conference proceedings 2686: 040001. https://doi.org/10.1063/5.0115405.

Harvard

Poovely, J.J. et al. (2022) ‘A survey on VLSI architecture and design for data compression’, AIP conference proceedings, 2686, p. 040001. Available at: https://doi.org/10.1063/5.0115405.

BibTeX

@article{poovely2022survey,
  title = {{A survey on VLSI architecture and design for data compression}},
  author = {Poovely, Jaimy James and Dolly, D. Raveena Judie and Chinnu, S and Aniyan, Archana},
  journal = {AIP conference proceedings},
  volume = {2686},
  pages = {040001},
  year = {2022},
  doi = {10.1063/5.0115405}
}

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