Comparative Analysis of Discrete Cosine Transform and Discrete Wavelet Transform on Different Image Files

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dc.contributor.authorAliyu, Ishola Nasiru
dc.contributor.authorNwana, O. K.
dc.contributor.authorSikiru, Ismaeel Abiodun
dc.contributor.authorImam-Fulani, Yusuf Olayinka
dc.date.accessioned2023-05-25T13:02:35Z
dc.date.available2023-05-25T13:02:35Z
dc.date.issued2018
dc.description.abstractThe process of reducing the quantity of data used in representing certain information content without excessively reducing the quality of the original data is known as compression. It is useful in reducing pre-compression and post compression sizes are considered. Experimentally, result shows that DWT classes: lossless and lossy. It is lossless, if no information is lostduring compression process. A compression is lossy if the reconstructed image or data is not exactly the same as the original. This paper (DCT) and Discrete Wavelet Transform (DWT) on images of differentsizes with differentfile formats - memory space and time for an informationto be transmitted. Data compression can be divided into two JPG, PNG, BMP usingMatlab. Important parameters such as compression ratio, compression efficiency, presents comparative analysis between two lossy compression algorithms –Discrete Cosine Transform performed excellently better than DCT with better compression ratio and higher saving percentageen_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/10814
dc.language.isoenen_US
dc.publisherInternational Journal of Information Processing and Communicationen_US
dc.subjectDiscrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Compression ratio, Image Compression, Image files.en_US
dc.titleComparative Analysis of Discrete Cosine Transform and Discrete Wavelet Transform on Different Image Filesen_US

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