Block Matching

Block matching is a technique used to find corresponding blocks of pixels in images or signals, primarily for tasks like motion estimation, image denoising, and model compression. Current research focuses on improving efficiency and accuracy through adaptive search strategies, multiscale approaches (like BM3D and its variants), and integration with deep learning models for tasks such as image reconstruction and large language model pruning. These advancements have significant implications for various fields, including video forensics, remote sensing, music information retrieval, and the optimization of large-scale machine learning models.