Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution local training image pairs. Instead of basing on probabilistic or manifold learning models, the proposed method synthesizes the high-resolution image patch using the same position image patches of training image pairs. A cost function is formulated to obtain the optimal ights of the training image position-patches and the high-resolution patches are reconstructed using the same ights. The final high-resolution facial image is formed by integrating the hallucinated patches. Experiments show that the proposed method without residue compensation generates higherquality images than some methods.
['Xiang Ma', 'Junping Zhang', 'Chun Qi']
I am writing a research paper on a idea Position-based face hallucination method
[{"from": "human", "value": "I am writing a research paper on a idea Position-based face hallucination method"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel face hallucination method to reconstruct a high-resolution face image from a lowresolution observation based on a set of high- and lowresolution local training image pairs. Instead of basing on probabilistic or manifold learning models, the proposed method synthesizes the high-resolution image patch using the same position image patches of training image pairs. A cost function is formulated to obtain the optimal ights of the training image position-patches and the high-resolution patches are reconstructed using the same ights. The final high-resolution facial image is formed by integrating the hallucinated patches. Experiments show that the proposed method without residue compensation generates higherquality images than some methods."}]