An Efficient Image Compressor for Charge Coupled Devices Camera

Abstract EN

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 l p -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.