Compression of Remotely Sensed Astronomical Image Using Wavelet-Based Compressed Sensing in Deep Space Exploration

Compression of remotely sensed astronomical images is an essential part deep space exploration. This study proposes a wavelet-based compressed sensing (CS) algorithm for image compression in miniaturized independent optical sensor system, which introduces new framework CS the wavelet domain. The starts with traditional 2D discrete transform (DWT), provides frequency information image. coefficients are rearranged structured manner determined by parent–child relationship between sub-bands. We design scanning modes based on direction high-frequency sub-bands, and propose optimized measurement matrix double allocation rate. Through single matrix, higher rates can be simultaneously allocated to sparse vectors containing more energy vectors. strategy achieve better sampling. At decoding side, orthogonal matching pursuit (OMP) inverse (IDWT) used reconstruct Experimental results simulated show that our high-quality reconstruction low