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Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible...
Gain Fixed Pattern Noise Correction via Optical Flow
Digital camera CMOS image sensor Fixed pattern noise (FPN) Optical fl ow estimation gain FPN CDS
2015/8/17
Fixed pattern noise (FPN) or nonuniformity caused by device and interconnect parameter variations across an image sensor is a major source of image quality degradation especially in CMOS image sensors...
Optical Flow estimation using high frame rate sequences
Optical Flow estimation high frame rate sequences
2015/8/17
Gradient-based optical flow estimation methods such as Lucas Kanade method work well for scenes with small dlsplacements but fail when objects move with large displacements. Hierarchical matching-base...
Optical Flow Estimation Using Temporally Oversampled Video
Optical flow estimation Motion estimation High speed imaging CMOS image sensor Temporal oversampling
2015/8/12
Recent advances in imaging sensor technology make high frame rate video capture practical. As demonstrated in previous work, this capability can be used to enhance the performance of many image and vi...
All Optical NRZ-to-RZ conversion for 43-Gbps Signals for Generation of 172-Gbps OTDM Signals Using Intersubband Transition MQW Optical Gate
Generation OTDM Signals Intersubband Transition MQW Optical Gate
2015/7/14
We demonstrate all optical NRZ-to-RZ conversion at a bit rate of 43 Gbps using an intersubband transition optical gate. The converted 2-ps RZ pulses were successfully applied to generate 172-Gbps OTDM...