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HVI CIDNet LOL Blur
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HVI CIDNet LOL Blur

Developed by Fediory
HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the novel HVI color space.
Image Enhancement
Safetensors
Open Source License:MIT#Low-light enhancement#HVI color space#Image restoration
Downloads 123
Release Time : 3/10/2025

Model Overview

This model effectively improves image quality under low-light conditions, restoring details and colors through innovative HVI color space conversion and CIDNet architecture.

Model Features

HVI color space
Innovative color space design, specifically optimized for low-light image enhancement.
CIDNet architecture
Efficient convolutional neural network architecture, specially designed for the HVI color space.
Low-light enhancement
Capable of effectively improving the visibility and details of low-light images.

Model Capabilities

Low-light image enhancement
Image quality improvement
Detail restoration
Color correction

Use Cases

Computer vision
Surveillance video enhancement
Improve the quality of surveillance videos under night or low-light conditions.
Enhance object detection and recognition performance.
Medical image processing
Enhance the visualization of low-light medical images.
Assist doctors in diagnosis.
Photography
Night photo enhancement
Improve the quality of low-light photos taken by smartphones.
Enhance photo details and color performance.
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