Abstract
In this work a 3D DCT is used to transform a 2D image instead of using 2D DCT. The new approach of using a 3D DCT on a 2D image is explained in detail. The advantage of using 3D DCT is discussed. The 3D DCT is applied to three images. The images are reconstructed back to original size for visual comparison. The computational complexities of 2D DCT and 3D DCT are presented. The quality metrics of the reconstructed images are also presented. It is shown that images that are transformed using 3D DCT have quality close to that of 2D DCT transformed images and it results in higher compression ratios.
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Gondkar, S.R., Attimarad, G.V., Chandrasekhar, B. (2016). Compression of a 2D Image Using 3D-DCT. In: Shetty, N., Prasad, N., Nalini, N. (eds) Emerging Research in Computing, Information, Communication and Applications . Springer, Singapore. https://doi.org/10.1007/978-981-10-0287-8_13
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DOI: https://doi.org/10.1007/978-981-10-0287-8_13
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