youheiyu's Stars
bitcg/Just-Noticable-Difference
Calculate the JND of the gray scale of the display
you2mu/msrcr
python retinex
Snailclimb/JavaGuide
「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
Sy-Zhang/LIME
Reimplementation of the paper "LIME: A Method for Low-light IMage Enhancement" in ACM MM 2016.
duanqiu/FFM
It is the implement of paper “Fractional-Order Fusion Model for Low-Light Image Enhancement”
martinli0822/Low-light-image-enhancement
TIP 2018
mhaghighat/yuvRead
Read YUV Videos and Extract the Frames
dmarnerides/hdr-expandnet
Training and inference code for ExpandNet
Amos-zq/High-Dynamic-Range-HDR-Images-Construction
An implement of " Recovering High Dynamic Range Radiance Maps from Photographs", SIGGRAPH 1997 and "Gradient Domain High Dynamic Range Compression", SIGGRAPH 2002
inhail/Fuzzy-fusion-based-HDR-imaging
matlab code for 2015 Fuzzy fusion based HDR imaging using adaptive histogram separation
nsgaudio/HDR_Dynamic_Scenes
codehack9991/HDR-with-saturation-compensation
Novel Method to generate HDR images using ILP with saturation compensation
stevenJohnson/hdr_imaging
vison project
baidut/OpenCE
Contrast Enhancement Techniques for low-light images
felipegb94/hdr_imaging
HDR Imaging
baidut/BIMEF
Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)
taoshiqian/image_SDR_to_HDR
图像SDR to HDR,目标:暗光区域 光照增强,过曝光区域 光照减弱
LostXine/motionEstimation
Code for <A Point and Line Features Based Method for Disturbed Surface Motion Estimation>
jannemus/InertialScale
Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices
MargauxMasson/optical-flow
Here we estimate an optical flow from a sequence of images, in other words, we will study motion estimation, that is, we will try to detect objects in motion (eg cars) in order to to follow them, to measure their speed, etc. For this, we will implement the method of Horn and Shunck which relies on a differential approach (works for low displacements). This method of Horn and Shunck is based on the assumption that gray levels are preserved from one image to another
banterle/HDR_Toolbox
HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
ISET/isetcam
Open source version of the original ISET, a complement to ISETBIO