Image Compression and Reconstruction using DOST and DCST

Main Article Content

Prasanth padigala

Abstract

Image compression is a key step in the processing of images to reduce the data size and speed of image transmission and storage. Wavelets are usually said to be the innovative technique to compress the image, but the output of waves on smooth parts of the image is suboptimal.  A new technique for image compression using Stockwell Transform is therefore being proposed. In this work MATLAB technical computing language is used to implement the proposed Stockwell Transforms.  The quality parameters such as Mean Square Error, Peak Noise Ratio, Normalized Cross-correlation, Average Difference, Content Structural, Maximum Difference and NAE are computed to assess the methods.

Article Details

How to Cite
padigala, P. (2020). Image Compression and Reconstruction using DOST and DCST. Helix, 10(03), 77-81. Retrieved from https://helixscientific.pub/index.php/home/article/view/99
Section
Articles