A real time compression approach for aerial and remote sensing images

Generally, the best known accepted image compression techniques - such as wavelet based technique - have some obvious weakness to act as on-board real time practical compression technique due to their large processing units and multistage floating coefficients. It is difficult to implement them in compact reliable hardware architecture and achieve high compression performance results suitable for on-board compression systems. On the other hand, high image fidelity of decoded image and its hardware simplicity are important features for on-board real time compression systems. The introduced resampling block coding (RBC) algorithm is a step forward to fulfil some of the features. RBC compression results are significant compared to the set partitioning in - hierarchical trees (SPIHT) wavelet based image compression technique within the near-lossless region. In this article, the results are declared concerning the image fidelity, compression ratio (CR), speed and the maximum grayscale error of the decoded image.