Muhammad Akmal Shaik Mydin, M. H. Alkawaz, K. Ghafoor, Omar Farook Mohammad, Md Gapar Md Johar
{"title":"基于霍夫曼编码和离散小波变换(DWT)的医学图像压缩技术研究","authors":"Muhammad Akmal Shaik Mydin, M. H. Alkawaz, K. Ghafoor, Omar Farook Mohammad, Md Gapar Md Johar","doi":"10.1109/ICSPC53359.2021.9689166","DOIUrl":null,"url":null,"abstract":"In emergency situations, different types of medical images must be transferred from one place to another, and larger-sized images are difficult to transfer because they are time-consuming and take up more storage space. The size of the images that belongs to a single patient is very large, and it includes the resolution factor as well as diagnostic images. As a result, effective compression techniques for these medical images are required. Therefore, this paper has studied and analyzed the previous methods for the medical image compression using Huffman Coding & Discrete Wavelet Transform (DWT). This paper is also highlighted the strength and the weaknesses of Huffman Coding and Discrete Wavelet Transform (DWT) along with the parameters measurement that used for image compression.","PeriodicalId":331220,"journal":{"name":"2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT)\",\"authors\":\"Muhammad Akmal Shaik Mydin, M. H. Alkawaz, K. Ghafoor, Omar Farook Mohammad, Md Gapar Md Johar\",\"doi\":\"10.1109/ICSPC53359.2021.9689166\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In emergency situations, different types of medical images must be transferred from one place to another, and larger-sized images are difficult to transfer because they are time-consuming and take up more storage space. The size of the images that belongs to a single patient is very large, and it includes the resolution factor as well as diagnostic images. As a result, effective compression techniques for these medical images are required. Therefore, this paper has studied and analyzed the previous methods for the medical image compression using Huffman Coding & Discrete Wavelet Transform (DWT). This paper is also highlighted the strength and the weaknesses of Huffman Coding and Discrete Wavelet Transform (DWT) along with the parameters measurement that used for image compression.\",\"PeriodicalId\":331220,\"journal\":{\"name\":\"2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021)\",\"volume\":\"51 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPC53359.2021.9689166\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 9th Conference on Systems, Process and Control (ICSPC 2021)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPC53359.2021.9689166","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Medical Image Compression Techniques based on Huffman Coding and Discrete Wavelet Transform (DWT)
In emergency situations, different types of medical images must be transferred from one place to another, and larger-sized images are difficult to transfer because they are time-consuming and take up more storage space. The size of the images that belongs to a single patient is very large, and it includes the resolution factor as well as diagnostic images. As a result, effective compression techniques for these medical images are required. Therefore, this paper has studied and analyzed the previous methods for the medical image compression using Huffman Coding & Discrete Wavelet Transform (DWT). This paper is also highlighted the strength and the weaknesses of Huffman Coding and Discrete Wavelet Transform (DWT) along with the parameters measurement that used for image compression.