In this thesis we focus on stereo matching techniques for high dynamic range image pairs. We start by pointing out key points for generating HDR images suitable for achieving high-quality stereo matching results. Then 3 state-of-the-art stereo matching methods are modified and used to test the robustness of the proposed HDR stereo compared to conventional LDR stereo matching results. By performing HDR bit-plane slicing we found that we needed only around 16 bits per channel to store HDR images. At the end we propose a 16-bit unsigned integer format to store HDR pixel data, thus allowing many available stereo matching algorithms to be tested with HDR stereo pairs with only slight modifications.