Computational Flash Photography through Intrinsics
This work addresses a specific challenge in computational photography for photographers and image processing applications, offering an incremental improvement through a novel intrinsic formulation.
The paper tackles the problem of limited control over flash characteristics in photography by developing a computational method for flash decomposition and generation, demonstrating superior performance over existing alternatives and enabling computational flash control in real-world images.
Flash is an essential tool as it often serves as the sole controllable light source in everyday photography. However, the use of flash is a binary decision at the time a photograph is captured with limited control over its characteristics such as strength or color. In this work, we study the computational control of the flash light in photographs taken with or without flash. We present a physically motivated intrinsic formulation for flash photograph formation and develop flash decomposition and generation methods for flash and no-flash photographs, respectively. We demonstrate that our intrinsic formulation outperforms alternatives in the literature and allows us to computationally control flash in in-the-wild images.