Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a novel means of texture inpainting, dubbed Self-Similarity Inpainting, that uses the Self-Similarity Descriptor to implicitly encode complex structures through a summary of local neighborhood comparisons. Pixel patches are selected from a codebook based on descriptor distance in their original locale and after the proposed insertion.  suggest an efficient means of parallelizing this approach across an arbitrarily large number of processors, as ll as describing improvements over existing techniques and extensions that shift the tradeoff beten inpainting quality and algorithmic efficiency for object or artifact removal. Results are shown for a number of synthetic and captured digital images, including effects upon human foveal attention.
['Paul A. Ardis', 'Chris Brown']
I am writing a research paper on a idea Self-Similarity Inpainting
[{"from": "human", "value": "I am writing a research paper on a idea Self-Similarity Inpainting"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a novel means of texture inpainting, dubbed Self-Similarity Inpainting, that uses the Self-Similarity Descriptor to implicitly encode complex structures through a summary of local neighborhood comparisons. Pixel patches are selected from a codebook based on descriptor distance in their original locale and after the proposed insertion.  suggest an efficient means of parallelizing this approach across an arbitrarily large number of processors, as ll as describing improvements over existing techniques and extensions that shift the tradeoff beten inpainting quality and algorithmic efficiency for object or artifact removal. Results are shown for a number of synthetic and captured digital images, including effects upon human foveal attention."}]