{"title":"渐进式像素到像素评估以获得图像压缩的硬平滑区域","authors":"N. Taujuddin, R. Ibrahim, S. Sari","doi":"10.1109/ISMS.2015.56","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new image compression scheme that is based on the wavelet transform. The image is first divided into 64 × 64 pixels block. The progressive pixel-to-pixel evaluation is done to find the individual pixel intensity in each block. Then the different value between the maximum pixel intensity value and the minimum pixel intensity value is calculated. This value will lead to a special representation of each where the block with high difference value is set as the hard region block while the block with low difference value is set as the smooth region block. This region will be decomposed individually using Discrete Wavelet Transform (DWT) and thresholded using different threshold method based on the block characteristic. The proposed method shows compression did well on image with a large smooth area.","PeriodicalId":128830,"journal":{"name":"2015 6th International Conference on Intelligent Systems, Modelling and Simulation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Progressive Pixel-to-Pixel Evaluation to Obtain the Hard and Smooth Region for Image Compression\",\"authors\":\"N. Taujuddin, R. Ibrahim, S. Sari\",\"doi\":\"10.1109/ISMS.2015.56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new image compression scheme that is based on the wavelet transform. The image is first divided into 64 × 64 pixels block. The progressive pixel-to-pixel evaluation is done to find the individual pixel intensity in each block. Then the different value between the maximum pixel intensity value and the minimum pixel intensity value is calculated. This value will lead to a special representation of each where the block with high difference value is set as the hard region block while the block with low difference value is set as the smooth region block. This region will be decomposed individually using Discrete Wavelet Transform (DWT) and thresholded using different threshold method based on the block characteristic. The proposed method shows compression did well on image with a large smooth area.\",\"PeriodicalId\":128830,\"journal\":{\"name\":\"2015 6th International Conference on Intelligent Systems, Modelling and Simulation\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-02-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 6th International Conference on Intelligent Systems, Modelling and Simulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISMS.2015.56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 6th International Conference on Intelligent Systems, Modelling and Simulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMS.2015.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Progressive Pixel-to-Pixel Evaluation to Obtain the Hard and Smooth Region for Image Compression
In this paper, we propose a new image compression scheme that is based on the wavelet transform. The image is first divided into 64 × 64 pixels block. The progressive pixel-to-pixel evaluation is done to find the individual pixel intensity in each block. Then the different value between the maximum pixel intensity value and the minimum pixel intensity value is calculated. This value will lead to a special representation of each where the block with high difference value is set as the hard region block while the block with low difference value is set as the smooth region block. This region will be decomposed individually using Discrete Wavelet Transform (DWT) and thresholded using different threshold method based on the block characteristic. The proposed method shows compression did well on image with a large smooth area.