Volume 11 - Volume 11
Comparative Study on MATLAB based Joint Photographic Experts Group Image Size Reduction Using Shearlet and Wavelet Packet Transform for X-ray Images with Potential Hospital Data Storage Applications
Abstract
Aim: Aim of this study is to compress X-ray images using wavelet packet transform and shearlet
transform. These two transforms were compared for the better compression ratio to store large
hospital data files in small memory space. Materials and methods: Sample X-ray images were,
Wavelet packet (30) and Shearlet (30) for compression. Compression ratio was calculated. The
significance of the data were calculated using SPSS software. Results: There was statistical significance between the wavelet packet and shearlet transform based compression ratio data
(p<0.05, independent sample t- test). Conclusion: wavelet packet transform has a better compression ratio than shearlet transform. Wavelet packet transform appears to produce the most consistent results with higher standard deviation (3.3) when compared with shearlet transform which appears to produce lower results with lower standard deviation (0.8).
Paper Details
PaperID: 1759
Author's Name: Haripriya Perolla and Nibedita Dey
Volume: Volume 11
Issues: Volume 11
Keywords: Shearlet Transform, X-ray Images, Novel Image Compression Technique, Artificial Intelligence.
Year: 2021
Month: April
Pages: 1312-1323