Discrete Cosine Transform

The Discrete Cosine Transform (DCT) is a mathematical technique used to represent data, particularly images and signals, in the frequency domain, aiming to efficiently compress and analyze information. Current research focuses on leveraging DCT's properties in various applications, including improving deep learning models (e.g., through DCT-based attention mechanisms and compression techniques), enhancing image processing (e.g., super-resolution, JPEG decoding, and artifact removal), and developing novel compression algorithms for images, videos, and other data types. This work has significant implications for improving the efficiency and performance of numerous applications, ranging from secure data processing and image compression to enhancing machine learning models and improving video quality.