{"title":"无线胶囊内窥镜低功耗图像压缩","authors":"P. Turcza, M. Duplaga","doi":"10.1109/IST.2007.379586","DOIUrl":null,"url":null,"abstract":"In the paper image compression algorithm suitable for wireless capsule endoscopy is proposed. In general, image compression is the best way to decrease the communication bandwidth and save the transmitting power. However due to power limitation and small size conditions traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and entropy Huffman coder. Thanks to integer DCT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.","PeriodicalId":329519,"journal":{"name":"2007 IEEE International Workshop on Imaging Systems and Techniques","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"55","resultStr":"{\"title\":\"Low-Power Image Compression for Wireless Capsule Endoscopy\",\"authors\":\"P. Turcza, M. Duplaga\",\"doi\":\"10.1109/IST.2007.379586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the paper image compression algorithm suitable for wireless capsule endoscopy is proposed. In general, image compression is the best way to decrease the communication bandwidth and save the transmitting power. However due to power limitation and small size conditions traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and entropy Huffman coder. Thanks to integer DCT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.\",\"PeriodicalId\":329519,\"journal\":{\"name\":\"2007 IEEE International Workshop on Imaging Systems and Techniques\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"55\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Workshop on Imaging Systems and Techniques\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IST.2007.379586\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Workshop on Imaging Systems and Techniques","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IST.2007.379586","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Low-Power Image Compression for Wireless Capsule Endoscopy
In the paper image compression algorithm suitable for wireless capsule endoscopy is proposed. In general, image compression is the best way to decrease the communication bandwidth and save the transmitting power. However due to power limitation and small size conditions traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and entropy Huffman coder. Thanks to integer DCT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.
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