Volume 11 - Volume 11
Comparative Study on MATLAB based JPEG Image Size Reduction Using Discrete Cosine Transform and Shearlet Transform for Mammogram Images with Potential Hospital Data Storage Applications
Abstract
Aim: The aim of this study was to compare Discrete cosine transform and Shearlet transform for
mammographic image compression and determine better transform among them.
Materials and methods: Sample mammographic images were collected- DCT (30) and Shearlet (30)
for compression. Compression ratio was calculated by comparing the original and compressed
image size. The significance of the data were calculated using SPSS software. Result: There was a
statistical significance between DCT and shearlet based compression ratio data (p=0.035) deviation
independent sample t test). Conclusion: DCT based compression ratio was higher (2.41) than the shearlet transforms (0.73). Hence, proving to be a better compression transform than its counterpart (shearlet).
Paper Details
PaperID: 1778
Author's Name: Naveen Srinivasan and Dr. Nibedita Dey
Volume: Volume 11
Issues: Volume 11
Keywords: DCT, Shearlet, Novel Image Compression Technique, Image Compression, Artificial Intelligence.
Year: 2021
Month: April
Pages: 1526-1536