Reversible image enhancement processing via hybrid quantum algorithms

In order to solve the problems of pixel distortion, image clarity, and detail reduction during reversible image enhancement processing, a reversible image enhancement method with a hybrid quantum algorithm is proposed. Based on classical image processing technology, the algorithm first extracts the feature information of the original image and converts the classical image into a quantum image form by qubit encoding. Then the image enhancement is initially realized by Quantum Fourier transform. Finally, in order to avoid the loss and destruction of information, the Quantum Fourier inverse transform is used to reverse the processing of the image. Compared with the traditional image enhancement method, this method has better reversibility and fidelity and can take advantage of quantum parallel computing to improve image processing efficiency.