Bit Depth

Bit depth, representing the number of bits used to encode digital information (e.g., color in images or video), is a crucial parameter impacting data quality and processing efficiency. Current research focuses on improving bit depth handling in various applications, including enhancing video quality assessment for high dynamic range (HDR) content, detecting bit-depth manipulation in compressed video, and optimizing quantization techniques for efficient deep learning models, particularly in massive MIMO systems. These advancements are significant for improving the fidelity of digital media, reducing computational costs in machine learning, and enabling more efficient communication systems.