BYD

Last updated February 1, 2026

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Optical low-pass filter architecture: BYDRecent Research Landscape

Signal crosstalk and low quantum efficiency in high-density sensors degrade image clarity. This architecture engineers the vertical stack and pixel boundaries to maximize photon-to-electron conversion while minimizing noise.

What technical problems is BYD addressing in Optical low-pass filter architecture?

Aliasing and moire artifacts

(15)evidences

Aliasing and moiré artifacts occur when high-frequency image data exceeds the sensor's sampling capability. Mitigating these artifacts improves image fidelity across diverse hardware integrations.

Image data acquisition latency

(7)evidences

Latency and bandwidth constraints during high-speed pixel readout and conversion. Reducing these bottlenecks prevents frame rate lag and motion artifacts in real-time sensing.

Spatial aliasing artifacts

(6)evidences

High-frequency image data exceeds the Nyquist frequency of the pixel array, causing moiré patterns and false colors. Reducing these artifacts ensures accurate image reproduction for critical applications like vehicular sensing.

Sensor signal noise interference

(5)evidences

Unwanted electrical interference and artifacts degrade image fidelity during signal readout. Eliminating these disturbances ensures high-quality data capture for critical vehicle and electronic device applications.