Image Compression and Reconstruction using DOST and DCST

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Prasanth padigala


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.

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padigala, P. (2020). Image Compression and Reconstruction using DOST and DCST. Helix - The Scientific Explorer | Peer Reviewed Bimonthly International Journal, 10(03), 77-81. Retrieved from