{"title":"基于最优带间预测和整数小波变换的MODIS图像压缩","authors":"Yuan-xiang Li, Li Deng, Zhongliang Jing","doi":"10.1109/ICIG.2007.138","DOIUrl":null,"url":null,"abstract":"In order to store and transmit MODIS (moderate resolution imaging spectro-radiometer) multispectral images effectively, a practical compression method using optimal inter-band prediction and integer wavelet transform (IWT) is proposed. First, MODIS intrinsic noises are removed. Then, an optimal inter-band predictor is designed for de-correlating the spectral redundancy, and an error image is produced. Next, spatial redundancy in the error image is removed by using IWT and SPIHT (set partitioning in hierarchical trees) algorithm. This method can implement lossless compression, quasi-lossless compression and lossy compression with high compression ratio. We demonstrate the compression performance with different compression schemes in details. The experimental results have shown that our proposed method is efficient and practical for MODIS images.","PeriodicalId":367106,"journal":{"name":"Fourth International Conference on Image and Graphics (ICIG 2007)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"MODIS Image Compression with Optimal Inter-band Prediction and Integer Wavelet Transform\",\"authors\":\"Yuan-xiang Li, Li Deng, Zhongliang Jing\",\"doi\":\"10.1109/ICIG.2007.138\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to store and transmit MODIS (moderate resolution imaging spectro-radiometer) multispectral images effectively, a practical compression method using optimal inter-band prediction and integer wavelet transform (IWT) is proposed. First, MODIS intrinsic noises are removed. Then, an optimal inter-band predictor is designed for de-correlating the spectral redundancy, and an error image is produced. Next, spatial redundancy in the error image is removed by using IWT and SPIHT (set partitioning in hierarchical trees) algorithm. This method can implement lossless compression, quasi-lossless compression and lossy compression with high compression ratio. We demonstrate the compression performance with different compression schemes in details. The experimental results have shown that our proposed method is efficient and practical for MODIS images.\",\"PeriodicalId\":367106,\"journal\":{\"name\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-08-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Conference on Image and Graphics (ICIG 2007)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIG.2007.138\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Conference on Image and Graphics (ICIG 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIG.2007.138","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
摘要
为了有效存储和传输MODIS(中分辨率成像光谱辐射计)多光谱图像，提出了一种基于最优带间预测和整数小波变换(IWT)的实用压缩方法。首先，去除MODIS固有噪声。然后，设计最优带间预测器对光谱冗余进行去相关处理，得到误差图像。其次，利用IWT和SPIHT (set partitioning in hierarchical trees)算法去除误差图像中的空间冗余。该方法可以实现无损压缩、准无损压缩和高压缩比的有损压缩。我们详细演示了不同压缩方案下的压缩性能。实验结果表明，该方法对MODIS图像具有较好的处理效果。
MODIS Image Compression with Optimal Inter-band Prediction and Integer Wavelet Transform
In order to store and transmit MODIS (moderate resolution imaging spectro-radiometer) multispectral images effectively, a practical compression method using optimal inter-band prediction and integer wavelet transform (IWT) is proposed. First, MODIS intrinsic noises are removed. Then, an optimal inter-band predictor is designed for de-correlating the spectral redundancy, and an error image is produced. Next, spatial redundancy in the error image is removed by using IWT and SPIHT (set partitioning in hierarchical trees) algorithm. This method can implement lossless compression, quasi-lossless compression and lossy compression with high compression ratio. We demonstrate the compression performance with different compression schemes in details. The experimental results have shown that our proposed method is efficient and practical for MODIS images.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
