Little Strokes Fell Great Oaks: Boosting the Hierarchical Features for Multi-exposure Image Fusion

arXiv:2404.06033v1 Announce Type: new
Abstract: In recent years, deep learning networks have made remarkable strides in the domain of multi-exposure image fusion. Nonetheless, prevailing approaches often involve directly feeding over-exposed and under-exposed images into the network, which leads to the under-utilization of inherent information present in the source images. Additionally, unsupervised techniques predominantly employ rudimentary weighted summation for color channel processing, culminating in an overall desaturated final image tone. To partially mitigate these issues, this study proposes a gamma correction …

arxiv boosting cs.cv features fusion hierarchical image type