Hierarchical Bit-Plane Slicing for High Dynamic Range Image Stereo Matching
Huei‐Yung Lin, Chung-Chieh Kao · IEEE Transactions on Instrumentation and Measurement · 2021
Due to the recent advances of sensing technologies, high dynamic range (HDR) imaging devices have been developed for the image acquisition of real-world scenes with a wide range of luminance changes. In this paper, the hierarchical matching techniques for high dynamic range image pairs are investigated. A bit slicing method is combined with the state-of-the-art stereo matching algorithms for HDR images generated from multiple exposures. Our approach demonstrates that it is possible to use only the most significant 16 bits of the HDR image encoding per pixel to achieve a comparable bad pixel rate on stereo matching. Thus, the computational power and memory constraints can be reduced while benefiting from the HDR images. This makes HDR stereo matching feasible under general resource limited setups. In the experiments, the evaluation and comparison carried out using Middlebury stereo datasets have illustrated the effectiveness of the proposed framework. The source codes are available at: https://github.com/chillwater/HDR Stereo Match.