Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures Considering Hue Distortion
This work addresses hue distortion issues in high dynamic range imaging for photography and computer vision applications, representing an incremental improvement over existing SVE methods.
The paper tackles the problem of color distortion in single-shot high dynamic range imaging with spatially varying exposures by proposing a method to estimate and correct hue from raw images, resulting in improved image quality without ghost artifacts.
We proposes a novel single-shot high dynamic range imaging scheme with spatially varying exposures (SVE) considering hue distortion. Single-shot imaging with SVE enables us to capture multi-exposure images from a single-shot image, so high dynamic range images can be produced without ghost artifacts. However, SVE images have some pixels at which a range supported by camera sensors is exceeded. Therefore, generated images have some color distortion, so that conventional imaging with SVE has never considered the influence of this range limitation. To overcome this issue, we consider estimating the correct hue of a scene from raw images, and propose a method with the estimated hue information for correcting the hue of SVE images on the constant hue plain in the RGB color space.