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liuqian564684's Projects

autopanorama icon autopanorama

Try to achieve ‘ Automatic Panoramic Image Stitching using Invariant Features’

autopanorama-python icon autopanorama-python

Implementation of IJCV 2007 David Lowe (Automatic Panoramic Image Stitching using Invariant Features)

color-channel-compensation-3c icon color-channel-compensation-3c

The C++ and Python implementation of Color Channel Compensation (3C): A Fundamental Pre-Processing Step for Image Enhancement Article

ges-gsp-stitching icon ges-gsp-stitching

The repository contains our dataset and C++ implementation of the CVPR 2022 paper, Geometric Structure Preserving Warp for Natural Image Stitching.

l2uwe icon l2uwe

L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion (CVPRW 2020)

mf-lime icon mf-lime

基于Retinex模型和多尺度融合的低光照图像增强技术 Low-light image enhancement technology based on Retinex model and multi-scale fusion

niqe icon niqe

NIQE for IQA in python..

niswgsp icon niswgsp

C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior.

niswgsp-window icon niswgsp-window

C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior (Windows Visual Studio 15.7 Version)

niswgsp_line icon niswgsp_line

Add a line preserving term to the Natural Image Stitching with the Global Similarity Prior (NISwGSP) algorithm to protect the typical line structure from being distorted.

sea-thru icon sea-thru

[Dockerized] Implementation of Sea-thru by Derya Akkaynak and Tali Treibitz

underwater icon underwater

Companion repository to the paper Automatic Red-Channel Underwater Image Restoration, by Galdran et al.

underwater-image-enhancement-by-wavelength-compensation-and-dehazing icon underwater-image-enhancement-by-wavelength-compensation-and-dehazing

ACQUIRING clear images in underwater environments is an important issue in ocean engineering. The quality of underwater images plays a pivotal role in scientific missions such as monitoring sea life, taking census of populations, and assessing geological or biological environments. Capturing images underwater is challenging, mostly due to haze caused by light that is reflected from a surface and is deflected and scattered by water particles, and colour change due to varying degrees of light attenuation for different wavelengths. Light scattering and colour change result in contrast loss and colour deviation in images acquired underwater.

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