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These precedent approaches focus on optimizing motion detection in CIS but are not concerned with very low power image processing.
The goal is to relieve the node microcontroller of the image compression tasks and to achieve high-speed and low power image processing.
In this paper, we present and evaluate a hardware solution for user-driven and packet loss tolerant image compression, especially designed to enable low power image compression and communication over wireless camera sensor networks (WCSNs).
A hardware solution for user-driven and packet loss tolerant image compression was presented and evaluated [9], which was designed to enable low power image compression and communication over wireless camera sensor networks.
The proposed dual-band compressor is designed in such as way that it can easily be interfaced with any commercial low power image sensor that outputs RGB image pixels in a raster scan fashion, eliminating the need of large buffer memory and temporary storage.
(A ) Low power image stained with hematoxylin and eosin.
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Scale bars: low power images, 2 μm; high power images bar, 1 μm.
(B ) Low power images of sections from brain and kidney showing native GFP and tdTomato fluorescence.
Low power images that included the entire CaP motor neuron utilized the Zeiss Plan-Apochromat 40×/1.0 n.a.a
Figure 1 shows low power images of the cortical labyrinth stained with antibodies to CLIC4 (red) plus the proximal tubule brush border (green) and nuclear (cyan) markers.
As such it is very suitable for integration with RF transmitter to form a compact, ultra low-power image processing system for WCE application.
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