Abstract: Discrete Cosine Transformation (DCT) based image data compression considering image restoration is proposed. An image data compression method based on the compression (DCT) featuring an image restoration method is proposed. DCT image compression is widely used and has four major image defects. In order to reduce the noise and distortions, the proposed method expresses a set of parameters for the assumed distortion model based on an image restoration method. The results from the experiment with Landsat TM (Thematic Mapper) data of Saga show a good image compression performance of compression factor and image quality, namely, the proposed method achieved 25% of improvement of the compression factor compared to the existing method of DCT with almost comparable image quality between both methods.

Kohei Arai, “Discrete Cosine Transformation based Image Data Compression Considering Image Restoration” International Journal of Advanced Computer Science and Applications(IJACSA), 11(6), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110616

@article{Arai2020,
title = {Discrete Cosine Transformation based Image Data Compression Considering Image Restoration},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110616},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110616},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {6},
author = {Kohei Arai}
}