Speaker
Mr
Yash Bitla
(Don Bosco Institute of Technology)
Description
Compression is a course used by numerous applications and techniques to make data transfer
laidback and swift. Similarly, there are different types of data shared across such as text and image almost
every second of our lives. However, with the growing number of working applications and users the
compression techniques are limited and yet to explore and deploy. Hence, we tried to come up with a new
compression route using LZSS and Huffman Coding for text compression. Also, we plan on incorporating this
hybrid text compression using Parallel Processing that can drastically improve the time complexity of our
algorithm. Deep convolution neural network is an underestimated and extensive tool for addressing image
compression. We have tried to use the above technologies to achieve higher compression ratio than typical
compression algorithms available. Also, we have used hybrid CNN to generate a better image which is unlike
from existing techniques. Correspondingly including parallelization technique has helped us to optimize the
output and reduce the responding time.
Primary author
Prof.
Kalpita Ajinkya Wagaskar
(Don Bosco Institute of Technology)
Co-author
Mr
Yash Bitla
(Don Bosco Institute of Technology)
