What is 8-bit quantization

8-bit quantization is a digital signal processing technique that converts higher precision data, such as floating-point numbers, into lower precision formats, such as integers. This process is crucial in various applications, especially in multimedia data processing like audio, video, and images.

In 8-bit quantization, each sample's value is constrained between 0 and 255. This allows for more efficient data storage and processing. For example, in image processing, 8-bit quantization can significantly reduce the file size while maintaining an acceptable visual quality. However, the downside is the introduction of distortion, as some original data information is discarded.

Looking ahead, the use of 8-bit quantization may become more prevalent with the rise of deep learning and machine learning applications, particularly in edge computing and mobile devices, where low-precision computations can save energy and enhance processing speed. Researchers are also exploring more complex quantization methods, such as mixed precision quantization, to minimize distortion while improving computational efficiency.