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IceNet for Interactive Contrast Enhancement, IEEE Access, 2021

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IceNet

Input η=0.4 η=0.6 η=0.8 η=1.0

Official PyTorch Code for "IceNet for Interactive Contrast Enhancement, IEEE Access, vol. 9, pp. 168342-168354, Dec. 2021"

Keunsoo Ko and Chang-Su Kim

School of Electrical Engineering, Korea University, Seoul, South Korea

Demo Video

Demo

User Study Video

UserStudy

Installation

Download repository:

    $ git clone https://github.com/keunsoo-ko/LFSR-AFR.git

Usage

Run demo:

    $ python demo_interactive.py

In demo, press the key as shown below:

To reset the scribble map, press the key "1";

To save the enhanced image, press the key "2";

To finish demo, press the key "Esc"

Run training:

    $ python Train.py

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IceNet for Interactive Contrast Enhancement, IEEE Access, 2021

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