An Automatic Weight-Based High Dynamic Range Imaging Syntheses with Multiple Different Exposed Low Dynamic Range Images
Jiun-You Chen, Chen‐Chung Liu · 2014
High dynamic range (HDR) imaging offers the capture of faithful representations of real world scenes to become a powerful technique in many areas, providing the maximum amount of detail data for radiologists to examine medical MR images. Now, HDR imaging is widely utilized in surveillance, remote sensing, and space research. This paper proposes a simple and effective scheme to generate a single HDR image combined by multiple low dynamic range (LDR) images of a scene with different exposures. The proposed algorithm first divides each LDR image into non-overlapping blocks of the same size, and then evaluate each block‟s average intensity and the statistical values of intensities of the whole LDR images. The proposed approach gives weight for each block according to each block‟s average intensity. The final output block is assigned as a weighted average of the input blocks acquired at different exposures. The experimental results show that the proposed approach has three major advantages: (i) the proposed algorithm is simple and effective, (ii) the proposed algorithm is time saving, due to operating completely on intensity only, (iii) there are no restrictions in the image dynamic color ranges in the proposed algorithm.