The photon detection capability and nonlinear response characteristic of quanta image sensors make them an op-timal choice for high dynamic range imaging. To suppress ghosting artifacts in dynamic scenes and obtain high-quality high dynamic range reconstructed images using quanta image sensors, a high dynamic range image reconstruction method based on multi-weight factor exposure bracketing is proposed in this paper. Initially, adaptive aligning and merging of bit-planes from the same exposure is performed to suppress noise and blur in the low dy-namic range reconstructed frame. Subsequently, the exposure-referred signal-to-noise ratio and gradient infor-mation of the frames are computed , which facilitates the reconstruction of a high dynamic range image using multi-weight factor exposure bracketing. Results indicate that the proposed method has better reconstruction quality and is particularly effective for high dynamic range imaging in non-ideal dynamic scenes. Compared to the single-weight exposure bracketing method and threshold optimization method, the proposed method has the lowest log-scale mean squared errors in reconstructed images and the perceptually uniform peak signal-to-noise ratio is improved by 9.7%, while the perceptually uniform structural similarity index is also improved by 3.5%, respectively.