{"title":"Enhancing the Efficiency and Sensitivity in Discrete Cosine Transform based Image Compression and Comparing with Discrete Wavelet Transform","authors":"P. Dinesh, G. Uganya","doi":"10.1109/ICTACS56270.2022.9987984","DOIUrl":null,"url":null,"abstract":"This work aims to compress the color images using Novel DC transform (Discrete Cosine Transform) and compare the efficiency and sensitivity with Discrete Wavelet Transform (DWT). Novel DCT and DWT algorithms were implemented to compress the image without losing quality. Group 1 with 20 samples using DWT and group 2 with 20 pieces using Novel DCT. These two groups can be performed with the help of collecting 40 samples. These algorithms were implemented to evaluate the efficiency and sensitivity of the compressed images. From the simulation result, the proposed algorithm achieves the image compression ratio of 23:1 with 96% efficiency and 98% sensitivity. The DWT algorithm achieves an image compression ratio of 21:1 with 94% of efficiency and 93% of sensitivity. The significance value obtained was 0.02, which is less than 0.05. The novel DCT algorithm has significantly better efficiency and sensitivity than the DWT algorithm.","PeriodicalId":385163,"journal":{"name":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 2nd International Conference on Technological Advancements in Computational Sciences (ICTACS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTACS56270.2022.9987984","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This work aims to compress the color images using Novel DC transform (Discrete Cosine Transform) and compare the efficiency and sensitivity with Discrete Wavelet Transform (DWT). Novel DCT and DWT algorithms were implemented to compress the image without losing quality. Group 1 with 20 samples using DWT and group 2 with 20 pieces using Novel DCT. These two groups can be performed with the help of collecting 40 samples. These algorithms were implemented to evaluate the efficiency and sensitivity of the compressed images. From the simulation result, the proposed algorithm achieves the image compression ratio of 23:1 with 96% efficiency and 98% sensitivity. The DWT algorithm achieves an image compression ratio of 21:1 with 94% of efficiency and 93% of sensitivity. The significance value obtained was 0.02, which is less than 0.05. The novel DCT algorithm has significantly better efficiency and sensitivity than the DWT algorithm.