Recently, the discrete wavelet transforms- (DWT-) based compressor, such as JPEG2000 and CCSDS-IDC, is widely seen as the state of the art compression scheme for charge coupled devices (CCD) camera. However, CCD images project on the DWT basis to produce a large number of large amplitude high-frequency coefficients because these images have a large number of complex texture and contour information, which are disadvantage for the later coding. In this paper, we proposed a low-complexity posttransform coupled with compressing sensing (PT-CS) compression approach for remote sensing image. First, the DWT is applied to the remote sensing image. Then, a pair base posttransform is applied to the DWT coefficients. The pair base are DCT base and Hadamard base, which can be used on the high and low bit-rate, respectively. The best posttransform is selected by the lp-norm-based approach. The posttransform is considered as the sparse representation stage of CS. The posttransform coefficients are resampled by sensing measurement matrix. Experimental results on on-board CCD camera images show that the proposed approach significantly outperforms the CCSDS-IDC-based coder, and its performance is comparable to that of the JPEG2000 at low bit rate and it does not have the high excessive implementation complexity of JPEG2000.

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posttransform coefficients large amplitude highfrequency coefficients cs ccsdsidc dwt basis sparse representation stage discrete wavelet transforms dwt based compressor jpeg2000 remote sensing image onboard ccd camera images lowcomplexity posttransform coupled with compressing sensing ptcs compression approach complex texture and contour information bit rate compression scheme ccsdsidcbased coder lpnormbased approach charge coupled devices

Jin Li,.An Efficient Image Compressor for Charge Coupled Devices Camera. 2014 (),.

Jin Li,"An Efficient Image Compressor for Charge Coupled Devices Camera" 2014

Jin Li,"An Efficient Image Compressor for Charge Coupled Devices Camera"