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Hybrid Saturation Restoration for LDR Images of HDR Scenes

arXiv 2111.06038 ↗First posted 11 Nov 2021cs.CV eess.IVcited by 0

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Abstract (arXiv)

There are shadow and highlight regions in a low dynamic range (LDR) image which is captured from a high dynamic range (HDR) scene. It is an ill-posed problem to restore the saturated regions of the LDR image. In this paper, the saturated regions of the LDR image are restored by fusing model-based and data-driven approaches. With such a neural augmentation, two synthetic LDR images are first generated from the underlying LDR image via the model-based approach. One is brighter than the input image to restore the shadow regions and the other is darker than the input image to restore the high-light regions. Both synthetic images are then refined via a novel exposedness aware saturation restoration network (EASRN). Finally, the two synthetic images and the input image are combined together via an HDR synthesis algorithm or a multi-scale exposure fusion algorithm. The proposed algorithm can be embedded in any smart phones or digital cameras to produce an information-enriched LDR image.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 14 of its 51 references that are in the map. First posted on arXiv 11 Nov 2021.

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14 of 51 references.

References · 14

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2 more
  1. 2020Single Image Brightening via Multi-Scale Exposure Fusion with Hybrid Learningcited by 12
  2. 2017Generation of High Dynamic Range Illumination from a Single Image for the Enhancement of Undesirably Illuminated Imagescited by 1

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