The Quantum Image Compressed Preparation And Information Hiding

With the rapid development of quantum computer science,quantum image processing is making great process accordingly.The newest research indicates that more and more technologies of quantum computers have been applied to the field of image process in order to come up with a better way to solve relevant problems.Quantum image representation is the base of quantum image processing.Nowadays,several modules of quantum image representation have been used widely such as FRQI and NEQR.However,modules for three-dimensional and even multidimensional images are too less.Quantum image compression is an important branch of quantum image processing field.This paper introduces a preparation method for three-dimensional quantum image representation based on FRQI and NEQR modules,and use this way to achieve DPCM compression in quantum computer and the simulation experiment shows the better compression ratio.Besides,basing on the GQIR image preparation model to achieve JPEG lossy compression in quantum computer consists of several progress such as storing the quantized DCT coefficients into quantum system,store the quantization matrix,inverse quantization and inverse DCT.The simulation experiment shows its better performance in complexity and compression ratio than BEC.Another important branch of quantum image processing field is quantum image information hiding.It includes quantum image scrambling and steganography.Besides,steganography hides one private image into another one to achieve the hided transmission.LSB is one of the most important algorithms in classic computer image hiding technology.This paper ports it to quantum computer and the simulation shows a high performance in quantum computer.