Wavelet-Based Data Compression for Remote Sensing and Image Processing

D. Yadav, A. Dadhich, Ananya Saha
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Abstract

Wavelet-based totally records compression is a form of information compression used to method far flung sensing and picture processing. This technique makes use of wavelets, that are mathematical features that divide a signal into separate frequency components, and gift the signal as a sum of the components. Wavelet-primarily based compression permits for compression of statistics into a smaller, extra efficient form without sizeable lack of best. furthermore, it could additionally produce precise reconstructions of the original sign or image, making it a feasible tool for remote sensing and image processing. This approach is utilized in a selection of applications including medical imaging, television transmission, satellite tv for pc imagery and far flung sensing. via utilising wavelets, more efficient and special records may be received. moreover, due to its low time complexity, wavelet-based compression is ideal for processing big quantities of data speedy and efficaciously.
基于小波的遥感和图像处理数据压缩技术
基于小波的全记录压缩是一种用于远距离传感和图像处理的信息压缩形式。这种技术利用了小波,小波是一种数学特征,它将信号分成不同的频率分量,并将信号作为这些分量的总和。基于小波的压缩技术可以将统计数据压缩成更小、更有效的形式,而不会有明显的缺陷。此外,它还可以精确地重建原始符号或图像,使其成为遥感和图像处理的可行工具。这种方法被广泛应用于医疗成像、电视传输、卫星电视图像和远距离传感等领域。通过使用小波,可以获得更高效、更特殊的记录。此外,由于其时间复杂性低,基于小波的压缩技术是快速有效处理大量数据的理想选择。
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