Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel error concealment method based on multiscale patch clustering and low-rank minimization. In order to collect more reliable patches to form a genuine low-rank matrix, an image pyramid is formed utilizing an effective down-sampling process. The classic singular value thresholding (SVT) is modified into a global iteration to solve the low-rank minimization problem. Extensive experimental results on the random pixel loss and the block loss situation validate the effectiveness of the proposed method. The proposed method acquires higher PSNR and better visual quality than the state-of-the-art low-rank based error concealment methods.
['Mading Li', 'Wenhan Yang', 'Sijie Song', 'Zongming Guo']
I am writing a research paper on a idea Error concealment with multiscale patch clustering and low-rank minimization
[{"from": "human", "value": "I am writing a research paper on a idea Error concealment with multiscale patch clustering and low-rank minimization"}, {"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 error concealment method based on multiscale patch clustering and low-rank minimization. In order to collect more reliable patches to form a genuine low-rank matrix, an image pyramid is formed utilizing an effective down-sampling process. The classic singular value thresholding (SVT) is modified into a global iteration to solve the low-rank minimization problem. Extensive experimental results on the random pixel loss and the block loss situation validate the effectiveness of the proposed method. The proposed method acquires higher PSNR and better visual quality than the state-of-the-art low-rank based error concealment methods."}]