An efficient and fast compression technique for multispectral browse images

M. Mittal, V.K. Singh, R. Krishnan, V.B. Subhadra
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引用次数: 2

Abstract

A study has been carried out to select a suitable and an efficient compression technique for IRS-LISS browse images. As browsing is mainly for visual inspection of imageries for checking area coverage of interest and cloud cover, more emphasis has been given on visual quality of image. So transformations like RGB-YUV and YUV-RGB coupled with compression have also been considered. Various compression techniques like JPEG, Wavelet based Set Partitioning In Hierarchical Trees (SPIHT) technique on Independent bands, KLT-SPIHT, RGB-YUV-SPIHT have been considered. The experiment has been done on a urban area image as well as on a hilly area image. Various results are tabulated and plotted.
一种高效、快速的多光谱浏览图像压缩技术
研究了一种适合于IRS-LISS浏览图像的高效压缩技术。由于浏览主要是对图像进行视觉检查,以检查感兴趣的区域覆盖和云量,因此更重视图像的视觉质量。因此,还考虑了像RGB-YUV和YUV-RGB这样的转换与压缩相结合。考虑了各种压缩技术,如JPEG、独立频带上基于小波的分层树集分割(SPIHT)技术、KLT-SPIHT、RGB-YUV-SPIHT。实验分别在城市图像和丘陵图像上进行。各种结果被制成表格并绘制出来。
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