| 摘要 |
Block-based variational image processing provides improved image processing by utilizing portions of an image rather than the entire image. The image is divided into multiple smaller portions, and then iterations to determine a partial differential equation for an image processing application are performed on the smaller portions. After performing the iterations on a portion, the resulting information is able to be stored in an external memory. This results in a much lower bandwidth requirement for the data, enabling the method to be performed in hardware. Additionally, the block-based variational image processing utilizes only a small number of neighboring pixels for each iteration.
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