Bayer Image Compression for Imaging Sensor System

As higher resolution sensors and high frame rate sensors emerge, the band width of pixel data to be transmitted from the sensor increases drastically in recent years. However, it becomes difficult to support the whole required band width and therein compressing pixel data in the sensor can resolve this band width limitation. Currently there are few available Bayer compression algorithms for imaging sensors. Even if we use the standard DPCM (differential pulse coded modulation) scheme, it is difficult to obtain the high quality image with meaningful compression ratio. We propose a new compression algorithm, Bayer Image Compression (BIC), which is a more efficient algorithm to use it on sensors. Firstly, BIC is suitable for sensors owe to low complexity and low power. Secondly, BIC can accurately predict through the direction estimation and minimize data loss at edges in images, and this induces high quality in image reconstruction even in higher compression ratio.