A novel video compression scheme is presented in this paper. This algorithm is implemented based on a conditional replenishment Address Event Representation (AER) imager, where image signals are compressed on the sensor level by employing the conditional replenishment algorithm. The intensity value of each pixel is compared to the last replenished frame. If the magnitude of the difference exceeds a certain threshold, the pixel value is quantized by 1-bit Fast Boundary Adaptation Rule (FBAR), while the address of the pixel is located and read-out by the AER method. Simulation re
Harry. L. Hu, Amine Bermak, Dominique Martinez