摘要
In this Letter, we propose an efficient compression algorithm for multi-spectral images having a few bands. First,we propose a low-complexity removing spectral redundancy approach to improve compression performance.Then, a bit plane encoding approach is applied to each band to complete the compression. Finally, the experiments are performed on multi-spectral images. The experiment results show that the proposed compression algorithm has good compressive property. Compared with traditional approaches, the proposed method can decrease the average peak signal noise ratio by 0.36 d B at 0.5 bpp. The processing speed reaches23.81 MPixels/s at the working frequency of 88 MHz, which is higher than the traditional methods. The proposed method satisfies the project application.
In this Letter, we propose an efficient compression algorithm for multi-spectral images having a few bands. First,we propose a low-complexity removing spectral redundancy approach to improve compression performance.Then, a bit plane encoding approach is applied to each band to complete the compression. Finally, the experiments are performed on multi-spectral images. The experiment results show that the proposed compression algorithm has good compressive property. Compared with traditional approaches, the proposed method can decrease the average peak signal noise ratio by 0.36 d B at 0.5 bpp. The processing speed reaches23.81 MPixels/s at the working frequency of 88 MHz, which is higher than the traditional methods. The proposed method satisfies the project application.
基金
supported by the Natural Science Foundation of China (Nos. 61505093 and 61505190)
the National Key Research and Development Plan of China (No. 2016YFC0103600)
Spectroscopy
