Aiming at the shortcomings of the existing image restoration algorithms, a 2D blind restoration algorithm based on novel DNA genetic glowworm swarm optimization is proposed. Firstly, the proposed algorithm improves the crossover and mutation operation in the traditional DNA genetic algorithm, and then combines the novel DNA genetic algorithm with the glowworm swarm optimization algorithm to propose a new DNA genetic glowworm swarm optimization algorithm. Secondly, the new DNA genetic glowworm swarm optimization algorithm is applied to the 2D image blind restoration, and a blind restoration algorithm based on the new DNA glowworm swarm optimization is obtained. The proposed algorithm has a good global search capability, which optimizes the initial weight matrix of the blind equalizer. After the fuzzy image is processed by the 2D blind equalizer, the image quality is improved and the image recovery is good. The simulation results verify the effectiveness of the proposed algorithm.