Mueller matrix polarimetry (MMP) has been proven to be a powerful tool for characterizing the microstructural features of biological samples in biomedical research and clinical diagnostics. However, the traditional Mueller matrix (MM) imaging technique based on single exposure has a limited dynamic range, leading to poor polarization image quality for biological samples with significant contrast variations. In this study, we propose a novel method to generate high dynamic range (HDR) MM images based on a multi-exposure fusion algorithm. By employing an optimal exposure selection strategy for transmission imaging and a multi-exposure weighted averaging strategy for backscattering imaging, the method expands the dynamic range while accurately preserving the polarization information of the samples. Experiments of sliced and bulk tissues demonstrate that the proposed method significantly suppresses the scattering noise and improves the quality of extracted polarization parameter images, especially in accurate distinction of different pathological areas. These results highlight the potential of HDR MM imaging technology in extracting polarization information from complex biological samples with high resolution and contrast.