Description: Perceptual coding is a technique that optimizes data representation based on human perception. This approach focuses on how humans perceive and process information, aiming to represent data in a way that aligns with human sensory and cognitive capabilities. Perceptual coding is used to enhance the efficiency and effectiveness of visual data representation, such as images and videos, as well as audio and text data. By considering factors such as visual attention, color perception, and shape, this technique allows neural networks to learn more relevant and meaningful features from the data, resulting in superior performance in classification and recognition tasks. In summary, perceptual coding is a powerful tool in the field of deep learning, seeking to align data representation with the way humans perceive the world, thereby improving the interaction between machines and users.
