An improved algorithm of search for compressive sensing image recovery based on lp norm

Compressed sensing theory by developing a signal sparse features, under the condition of far less than the Nyquist sampling rate, the correct signal is acquired with random sampling the discrete samples, and then through the nonlinear reconstruction algorithm reconstruction signal of high probability.