To improve the rendering quality of light field images,a high-quality light field image rendering method based on optimized optical flow is proposed and validated.Firstly,an adaptive off-axis camera is constructed using computer graphics technology to acquire texture and depth data (RGBD) of the model.Subsequently an RGB image pyramid is constructed using down sampling techniques,and the optical flow is iteratively computed based on this pyramid.Then,based on the depth information,a disparity threshold mechanism is constructed to clip the optical flow,improving the estimation accuracy of optical flow under large displacement conditions.Meanwhile,a similarity filtering matrix (SFM) for optical flow is constructed to select the optimized flow with minimal reprojection error,improving calculation accuracy and continuity of the optical flow.Finally,the occlusion relationship is derived from depth information and optical flow,and the light field image is generated by combining interpolation weights.On this basis,an integral imaging-based light field display system is implemented to achieve 3D display.Experimental results demonstrate that,at a field of view of ±18.9°,the proposed method achieves a 20.7% improvement in structural similarity (SSIM) and a 67.5% increase in peak signal-to-noise ratio (PSNR) compared to conventional optical flow rendering techniques.