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.为解决可逆图像增强处理过程中存在的像素畸变、图像清晰度下降及细节丢失问题，本文提出一种融合混合量子算法的可逆图像增强方法。该算法基于经典图像处理技术，首先提取原始图像的特征信息，并通过量子比特（qubit）编码将经典图像转换为量子图像形式；随后通过量子傅里叶变换（Quantum Fourier Transform）初步实现图像增强；最后，为避免信息的丢失与破坏，采用量子逆傅里叶变换（Quantum Inverse Fourier Transform）对图像进行逆向处理。与传统图像增强方法相比，该方法具备更优异的可逆性与保真度，且可借助量子并行计算提升图像处理效率。