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2020 – 2021
#13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6.
Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373
Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com
Fractal Image Compression based on Polynomial Interpolation
Abstract
As of today, image compression is still being enhanced bringing new mathematical
methods in this interesting field aiming to reduce images' sizes as well as maintaining
good level of their corresponding reconstructed images. In this paper, we present a new
image compression technique based on polynomial interpolation. It is based on the
interpolation of image pixels and converting them into polynomial factors. Along our
research, we have also proposed some enhancements to the original approach such as
subimage sorting in order to reach better compression measures. Preliminary results
show a promising improvement in terms of compression ratio and peak to noise ratio
compared to peer techniques.

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Fractal image compression based on polynomial interpolation

  • 1. 2020 – 2021 #13/ 19, 1st Floor, Municipal Colony, Kangayanellore Road, Gandhi Nagar, Vellore – 6. Off: 0416-2247353 Mo: +91 9500218218 / +91 8220150373 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com Fractal Image Compression based on Polynomial Interpolation Abstract As of today, image compression is still being enhanced bringing new mathematical methods in this interesting field aiming to reduce images' sizes as well as maintaining good level of their corresponding reconstructed images. In this paper, we present a new image compression technique based on polynomial interpolation. It is based on the interpolation of image pixels and converting them into polynomial factors. Along our research, we have also proposed some enhancements to the original approach such as subimage sorting in order to reach better compression measures. Preliminary results show a promising improvement in terms of compression ratio and peak to noise ratio compared to peer techniques.