Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Images
- 2017.07.31 - Submitted to a journal.
- 2017.08.02 - Uploading a full version of the paper at arXiv.org (will be disclosed in a day)
- 2017.08.03 - A full version of the paper is disclosed at https://arxiv.org/abs/1708.00636 [Notice] Some of the contents can be different with the submitted paper for a journal.
This paper presents an algorithm that enhances undesirably illuminated images by generating and fusing multi-level illuminations from a single image. The input image is first decomposed into illumination and reflectance components by using an edge-preserving smoothing filter. Then the reflectance component is scaled up to improve the image details in bright areas. The illumination component is scaled up and down to generate several illumination images that correspond to certain camera exposure values different from the original. The virtual multi-exposure illuminations are blended into an enhanced illumination, where we also propose a method to generate appropriate weight maps for the tone fusion. Finally, an enhanced image is obtained by multiplying the equalized illumination and enhanced reflectance. Experiments show that the proposed algorithm produces visually pleasing output and also yields comparable objective results to the conventional enhancement methods, while requiring modest computational loads.
[NPEA] Naturalness Preserved Enhancement Algorithm for Non-Uniform Illumination Images Link
[FbEM] A fusion-based enhancing method for weakly illuminated images Link
[LIME] LIME: Low-Light Image Enhancement via Illumination Map Estimation Link
[Results for the image.From top left to bottom right: input image, result of CLAHE, CVC, MSR, FbEM, LIME, NPEA and proposed method.]
[Results for the image. From top left to bottom right: input image, result of CLAHE, CVC, MSR, FbEM, LIME, NPEA and proposed method.]
