Filtering method for remote sensing image based on quantum mechanics

In this paper, the method for optical remote sensing image in the quantum space was present. The model of quantization remote sensing image was formulated, based on the theory of quantum mechanics. The image was firstly transformed into different scale information by shift invariant wavelet. Secondly, the image was transformed to the quantum superposition state form. The further step leaded to the information being decomposed into different quantum bit(Qubit) planes. And the information was optimized by norm on every Qubit plane, following the quantum computational theorem. Finally, the remote sensing image was reassembled in the procedure of reconstruction. The experimental result shows that evaluation index of the restored image is improved, which means that processed image has better quality than conventional filtering methods.