A. A. Budzko, T. Dvornikova, E. A. Misulin, R. U. Snapko
{"title":"使用沃尔什函数的图像压缩","authors":"A. A. Budzko, T. Dvornikova, E. A. Misulin, R. U. Snapko","doi":"10.35596/1729-7648-2022-20-7-88-94","DOIUrl":null,"url":null,"abstract":"Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transformation and the Walsh transformation that is used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. At the output, the combined data is compressed and can be stored on any device or transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.","PeriodicalId":33565,"journal":{"name":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image Compression Using Walsh Functions\",\"authors\":\"A. A. Budzko, T. Dvornikova, E. A. Misulin, R. U. Snapko\",\"doi\":\"10.35596/1729-7648-2022-20-7-88-94\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transformation and the Walsh transformation that is used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. At the output, the combined data is compressed and can be stored on any device or transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.\",\"PeriodicalId\":33565,\"journal\":{\"name\":\"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.35596/1729-7648-2022-20-7-88-94\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioelektroniki","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35596/1729-7648-2022-20-7-88-94","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Currently, image transfer and storage require compression. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transformation and the Walsh transformation that is used for quantization. The Walsh transform coefficients are quantized and arithmetically encoded. At the output, the combined data is compressed and can be stored on any device or transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.
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