An Adaptive Low-Complexity Compression Algorithm for Vehicle Systems

Advanced Driver Assistance Systems (ADAS) are increasingly integrated into modern vehicles, relying on high-speed image transmission from on-board cameras to control systems. This study presents an adaptive lossless image compression algorithm designed to reduce transmission data while maintaining high image quality. By dynamically switching between Color Filter Array (CFA) compression and predictive compression, the proposed method achieves an average compression rate of 3.835 and a Peak Signal-to-Noise Ratio (PSNR) of 30.57 dB, significant improvements in efficiency, making it suitable for automotive applications.