Compressive Sensing

Compressive Sensing (CS) is an efficient signal processing framework designed to acquire and reconstruct signals through sparse representation in a fixed linear basis. This technique leverages the sparsity of signals, enabling data acquisition and recovery at rates much lower than the traditional Nyquist sampling rate, which significantly enhances data processing efficiency and storage capacity. In the field of computer vision, CS holds significant application value for the efficient transmission and compression of images and videos.