A Little Bit More: Bitplane-Wise Bit-Depth Recovery

Punnappurath, Abhijith; Brown, Michael S.

doi:10.48550/arxiv.2005.01091

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2021

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“…Previous works on bit-depth expansion smooth image by applying the spatially adaptive filter [8] or selective average filter [47], or even directly adding noise to alleviate the artifacts [7]. Learning-based methods [22,32,55,43] have been proposed recently and they usually focus on restoration from lower bit-depth input to the 8-bit image. In this work, we aiming at recovering a 16-bit HDR image from an 8-bit LDR image.…”

Section: Dequantizationmentioning

confidence: 99%

HDRUNet: Single Image HDR Reconstruction with Denoising and Dequantization

Chen¹,

Liu²,

Zhang³

et al. 2021

Preprint

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Figure 1. HDR reconstruction with denoising and dequantization from a single LDR image. We propose a novel learning based method for single image HDR reconstruction with denoising and dequantization. The proposed method consists of a spatially dynamic encoder-decoder network and a new T anh L1 loss function. The visual comparison shows that our method reconstructs information in over-exposed regions and also reduces the noise and quantization loss in well-exposed regions. All the images have been µ-law tone-mapped for display. We slightly increase the contrast of patches in the bottom row for clearer visualization. Please zoom in for best view.

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