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HVI CIDNet LOLv2 Real Bestpsnr

Developed by Fediory
HVI-CIDNet is a deep learning model for low-light image enhancement, designed based on the new HVI color space.
Downloads 402
Release Time : 3/10/2025

Model Overview

This model is primarily used for image enhancement under low-light conditions, significantly improving image quality through innovative HVI color space conversion and CIDNet architecture.

Model Features

HVI color space
Utilizes the innovative HVI color space, specifically optimized for low-light image enhancement.
CIDNet architecture
Employs the CIDNet network architecture to effectively process image features under low-light conditions.
Image enhancement
Focuses on improving the visibility and quality of low-light images.

Model Capabilities

Low-light image enhancement
Image quality improvement
Color space conversion

Use Cases

Computer vision
Night surveillance image enhancement
Improves the quality of surveillance images captured at night or under low-light conditions.
Enhanced images exhibit clearer details and more accurate colors.
Low-light photography enhancement
Enhances photo quality taken by smartphones in dimly lit environments.
Photos show increased brightness and reduced noise.
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