In order to eliminate the Mura defect of VA-LCD, the image processing technology is adopted to collect display data through camera, so as to capture display pixel brightness. In-depth research is conducted on the algorithm of camera data correction. Firstly, the fixed mode noise and time-varying noise of the camera are reduced, and the plane field of the camera and lens is corrected by the standard light source. Then, the circular dot matrix pattern is used as the auxiliary calibration diagram, and the correction model is established by using the two-line relation, and the pixel brightness matrix is obtained preliminarily. According to the visual angle characteristics of VA-LCD, the characteristic curve of luminance-visual angle under different grey levels is established, and a large number of data are fitted with a fourth-order polynomial to improve the stability of the visual angle model. Finally, the effectiveness of the algorithm is verified by combining the compensation value calculation and chip real-time compensation technology, and the evaluation is carried out from the subjective and objective indicators. The experimental results show that the JND index of the display decreases from 2.7 to 1.8, and the in-plane 9-point uniformity increases from 53.4% to 82.9% after the application of this Mura elimination technique. The algorithm proposed can meet the requirements of the highest specifications of products and has good robustness in adaptive correction to meet the requirements of mass production in factories.