To solve the real-time imaging distortion correction problem of industrial wide-field objective lens, a correction algorithm and CPU+GPU parallel acceleration scheme was proposed. Firstly, a distortion correction model of aspheric surface is established according to the optical distortion theory and the camera calibration technology. Secondly, a correction algorithm is designed by using optical center and estimating distortion coefficients. Finally, based on the CPU+GPU hybrid acceleration platform, the kernel adaptive dimension algorithm is designed and the optimized running program is proposed, combined with OpenGL driver for real-time correction and displaying. The experimental results show that the real-time correction system can achieve a correction rate of 98.2%, single frame time-consuming of 0.026 s, the average overall speedup of 29.1 for high resolution distortion imaging. The imaging system is higher precision, transplantable and more simple, and can be widely used in the real-time imaging distortion correction.