Datasets › DICM

DICM

Introduced in Contrast enhancement based on layered difference representation1 Jan 2012 archive 2025-07-28

DICM is a dataset for low-light enhancement which consists of 69 images collected with commercial digital cameras.

Source: Deep Retinex Decomposition for Low-Light Enhancement Image Source: GLADNet: Low-Light Enhancement Network with Global Awareness

Benchmarks archive 2025-07-28

All 1 leaderboard whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Low-Light Image Enhancement DICM CIDNet NIQE 3.36 You Only Need One Color Space: An Efficient Network for... fediory/hvi-cidnet 6 Compare

Papers archive 2025-07-28

6 shown of 6 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 86. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • DICM

1 variant name, as the archive lists them.

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