Abstract:The detection of small targets in uncompressed imagery frequently incurs high computational cost due to areabased filtering and template matching processes. In particular, the convolution of a K-pixel filter with an N-pixel image typically requires work that is bounded below by O(KN). However, we have shown that such image-template operations can be computed in less than O(KN) time if the image is appropriately compressed [1][2][3][4][5]. We call this technique compressive processing.In this two-part series of… Show more
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