Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: CERL: A Unified Optimization Framework for Light Enhancement with
  Realistic Noise   Low-light images captured in the real world are inevitably corrupted by
sensor noise. Such noise is spatially variant and highly dependent on the
underlying pixel intensity, deviating from the oversimplified assumptions in
conventional denoising. Existing light enhancement methods either overlook the
important impact of real-world noise during enhancement, or treat noise removal
as a separate pre- or post-processing step. We present Coordinated Enhancement
for Real-world Low-light Noisy Images (CERL), that seamlessly integrates light
enhancement and noise suppression parts into a unified and physics-grounded
optimization framework. For the real low-light noise removal part, we customize
a self-supervised denoising model that can easily be adapted without referring
to clean ground-truth images. For the light enhancement part, we also improve
the design of a state-of-the-art backbone. The two parts are then joint
formulated into one principled plug-and-play optimization. Our approach is
compared against state-of-the-art low-light enhancement methods both
qualitatively and quantitatively. Besides standard benchmarks, we further
collect and test on a new realistic low-light mobile photography dataset
(RLMP), whose mobile-captured photos display heavier realistic noise than those
taken by high-quality cameras. CERL consistently produces the most visually
pleasing and artifact-free results across all experiments. Our RLMP dataset and
codes are available at: https://github.com/VITA-Group/CERL.

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The categories of this paper are: chem-ph
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The categories of this paper are: comp-gas
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The categories of this paper are: bayes-an
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The categories of this paper are: dg-ga
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The categories of this paper are: adap-org
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The categories of this paper are: econ
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The categories of this paper are: q-bio
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The categories of this paper are: hep-lat
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The categories of this paper are: cond-mat
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The categories of this paper are: cmp-lg
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The categories of this paper are: nlin
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The categories of this paper are: funct-an
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The categories of this paper are: patt-sol
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The categories of this paper are: stat
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The categories of this paper are: mtrl-th
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The categories of this paper are: hep-ph