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estija avatar

estija/LIME

0
View on GitHub↗
111 stars·22 forks·MATLAB·14 views

LIME

This is a MATLAB implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation". It was done as a course project for Digital Image Processing (ECN-316), under the guidance of Prof. Saumik Bhattacharya.

Features

  • Retinex Based Methods - Alternative implementation of illumination map estimation.

Star history

Star history chart for estija/limeStar history chart for estija/lime

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with LIME

These projects share indexed features with LIME. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • caibolun/jiepcaibolun avatar

    caibolun/JieP

    26View on GitHub↗

    Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao

    C++
    View on GitHub↗26
  • caiyuanhao1998/retinexformerC

    caiyuanhao1998/Retinexformer

    0View on GitHub↗
    View on GitHub↗0
  • chunminghe/reti-diffChunmingHe avatar

    ChunmingHe/Reti-Diff

    121View on GitHub↗

    ICLR2025 Spotlight ✨

    Python
    View on GitHub↗121
  • andersonyong/uretinex-netAndersonYong avatar

    AndersonYong/URetinex-Net

    226View on GitHub↗

    See URetinex-Net++. We release training code of URetinex-Net++, which share the decomposition module and unfolding module with URetinex-Net, enjoy!

    Python
    View on GitHub↗226
Compare all 13 related projects→

Frequently asked questions

What does estija/lime do?

This is a MATLAB implementation of the paper, "LIME: Low-Light Image Enhancement via Illumination Map Estimation". It was done as a course project for Digital Image Processing (ECN-316), under the guidance of Prof. Saumik Bhattacharya.

What are the main features of estija/lime?

The main features of estija/lime are: Retinex Based Methods.

Which projects share features with estija/lime?

Projects with overlapping indexed features include: caibolun/jiep — Bolun Cai, Xianming Xu, Kailing Guo, Kui Jia, Bin Hu, Dacheng Tao. caiyuanhao1998/retinexformer —  . chunminghe/reti-diff — ICLR2025 Spotlight ✨. dut-media-lab/ruas — this is the official code for the paper "Retinex-inspired Unrolling with Cooperative Prior Architecture Search for… jhakrraman/rt-xnet — Raman Jha, Adithya Lenka, Mani Ramanagopal, Aswin Sankaranarayanan, Kaushik Mitra. andersonyong/uretinex-net — See URetinex-Net++. We release training code of URetinex-Net++, which share the decomposition module and unfolding…