Hyperparameter tuning plays a crucial role in striking a balance between fidelity and perceptual quality in image restoration. For instance, adjusting hyperparameters like the shifting sequence {ηt} and noise variance κ can impact how much emphasis is placed on preserving image details (fidelity) versus enhancing visual appeal (perceptual quality). A higher value of κ may lead to more realistic results but could sacrifice some fine details, while manipulating the shifting sequence {ηt} can control the speed of residual shifting during the transition process. Finding an optimal combination of these hyperparameters is essential to achieve a desirable trade-off between fidelity and perceptual quality in image restoration.