Interference Multispectral Image Compression with Adaptive Distortion Control in Fourier Domain

Jing Ma, Chengke Wu, Dong Chen, Jie Guo
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引用次数: 3

Abstract

The interferential spectrometer is considered as the next generation of imaging spectrometers in aerial remote sensing. The customary multispectral images compression methods only consider the quality of reconstructed images in spatial domain without concerning the effect in Fourier domain where the application of spectrum is often used, such as substance classification and recognition. Our method WRDO-SPIHT (weighted rate-distortion optimization for SPIHT) is proposed based on the relationship between the distortion in Fourier domain and compression in spatial domain.
干涉多光谱图像的傅里叶域自适应失真控制
干涉光谱仪被认为是新一代航空遥感成像光谱仪。传统的多光谱图像压缩方法只考虑了重构图像在空间域中的质量,而没有考虑到在傅里叶域中的效果,而傅里叶域中往往需要光谱的应用,如物质分类和识别。基于傅里叶域失真与空间域压缩之间的关系,提出了加权率失真优化方法WRDO-SPIHT。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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