文章基本信息

标题：The Fourier Transform for Satellite Image Compression
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作者：Khaled SAHNOUN ; Noureddine BENABADJI
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2014
卷号：4
期号：1
页码：119-125
DOI：10.5121/csit.2014.4112
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The need to transmit or store satellite images is growing rapidly with the development ofmodern communications and new imaging systems. The goal of compression is to facilitate thestorage and transmission of large images on the ground with high compression ratios andminimum distortion. In this work, we present a new coding scheme for satellite images. At first,the image will be downloaded followed by a fast Fourier transform FFT. The result obtainedafter FFT processing undergoes a scalar quantization (SQ). The results obtained after thequantization phase are encoded using entropy encoding. This approach has been tested onsatellite image and Lena picture. After decompression, the images were reconstructed faithfullyand memory space required for storage has been reduced by more than 80%
关键词：Compression; Encoding Entropy; FFT; Scalar Quantization; Satellite