Abstract
Hyperspectral images (HSI) have hundreds of bands, which impose heavy burden on data storage and transmission bandwidth. Quite a few compression techniques have been explored for HSI in the past decades. One high performing technique is the combination of principal component analysis (PCA) and JPEG-2000 (J2K). However, since there are several new compression codecs developed after J2K in the past 15 years, it is worthwhile to revisit this research area and investigate if there are better techniques for HSI compression. In this paper, we present some new results in HSI compression. We aim at perceptually lossless compression of HSI. Perceptually lossless means that the decompressed HSI data cube has a performance metric near 40 dBs in terms of peak-signal-to-noise ratio (PSNR) or human visual system (HVS) based metrics. The key idea is to compare several combinations of PCA and video/ image codecs. Three representative HSI data cubes were used in our studies. Four video/image codecs, including J2K, X264, X265, and Daala, have been investigated and four performance metrics were used in our comparative studies. Moreover, some alternative techniques such as video, split band, and PCA only approaches were also compared. It was observed that the combination of PCA and X264 yielded the best performance in terms of compression performance and computational complexity. In some cases, the PCA + X264 combination achieved more than 3 dBs than the PCA + J2K combination.
Highlights
We present some new results in Hyperspectral images (HSI) compression
Lossless means that the decompressed HSI data cube has a performance metric near 40 dBs in terms of peak-signal-to-noise ratio (PSNR) or human visual system (HVS) based metrics
Four video/image codecs, including J2K, X264, X265, and Daala, have been investigated and four performance metrics were used in our comparative studies
Summary
Hyperspectral images (HSI) have found a wide range of applications, including. It is unnecessary to compress data losslessly because lossless compression can achieve only two to three times of compression. It will be more practical to apply perceptually lossless compression [6] [7] [8] [9]. A simple rule of thumb is that if the peak-signal-to-noise ratio (PSNR) or human visual system (HVS) inspired metric is above 40 dBs, the decompressed image is considered as “near perceptually lossless” [10]. We have applied perceptually lossless compression to maritime images [10], sonar images [10], and Mastcam images [11] [12] [13]
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