期刊
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
卷 65, 期 9, 页码 1229-1233出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCSII.2017.2775583
关键词
Motion magnification; Laplacian pyramid; spatiotemporal filtering; smart image sensor; pixel stream processing
资金
- NIH [AG041974, EY025913]
- NATIONAL EYE INSTITUTE [R41EY025913] Funding Source: NIH RePORTER
- NATIONAL INSTITUTE ON AGING [R01AG041974] Funding Source: NIH RePORTER
This brief proposes a modified Eulerian Video Magnification (EVM) algorithm and a hardware implementation of a motion magnification core for smart image sensors. Compared to the original EVM algorithm, we perform the pixel-wise temporal bandpass filtering only once rather than multiple times on all scale layers, to reduce the memory and multiplier requirement for hardware implementation. A pixel stream processing architecture with pipelined blocks is proposed for the magnification core, enabling it to readily fit common image sensing components with streaming pixel output, while achieving higher performance with lower system cost. We implemented an FPGA-based prototype that is able to process up to 90M pixels per second and magnify subtle motion. The motion magnification results are comparable to the original algorithm running on PC.
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