Video compression and enhancement sensors using column-parallel architecture
We propose two novel image sensors, compression sensor and motion adaptive sensor, which have computational elements on the sensor plane. They make use of column-parallel architecture. The compression sensor can significantly reduce the amount of pixel data in order to overcome the communication bottle neck for high pixel rate imaging by making use of very fast analog processing on the sensor plane. We also propose motion adaptive sensor for enhancing images and wider dynamic range. The proposed sensor is able to control the suitable storage time in each pixel which results in no motion-blur and no saturation. It is expected to have a wide dynamic range, high temporal resolution in the moving area and high SNR in the static area.