Image_Enhancement

Resources

• https://github.com/dlut-dimt/Realworld-Underwater-Image-Enhancement-RUIE-Benchmark Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions

Contrast Enhancement

• https://github.com/baidut/OpenCE Contrast Enhancement Techniques for low-light images
• https://github.com/IsaacChanghau/OptimizedImageEnhance/tree/master/matlab Fast Optimized Image/Video Enhancement Methods in Matlab
• https://github.com/AndyHuang1995/Image-Contrast-Enhancement Python implementation of "A New Image Contrast Enhancement Algorithm Using Exposure Fusion Framework", CAIP2017
• https://github.com/yearway/CDE An unofficial implementation of the "Content-Aware Dark Image Enhancement Through Channel Division".
• https://xueyangfu.github.io/projects/icip2014.html implementation of "A retinex-based enhancing approach for single underwater image"
• https://github.com/mtobeiyf/CEIQ Matlab code for "No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement"
• https://github.com/ravimalb/suace Speeded Up Adaptive Contrast Enhancement (SUACE); an OpenCV based contrast enhancement technique.
• https://github.com/inhail/HDR-infrared-images-detail-enhancement matlab code for 2016 HDR infrared images detail enhancement based on local edge preserving filter
• https://github.com/utpal0401/Wavelength-Compensation-and-Dehazing Underwater-Image-Enhancement-using-Wavelength-Compensation-and-Dehazing
• https://github.com/mgharbi/hdrnet An implementation of 'Deep Bilateral Learning for Real-Time Image Enhancement'
• https://github.com/CQFIO/FastImageProcessing Fast Image Processing with Fully-Convolutional Networks

Reflection removal

• https://github.com/abhijith97/Reflection-Removal implementation of the paper “Reflection removal using ghosting cues”

de-haze

• https://github.com/arsenalliu123/dehazing-GPU Dehazing algorithm implemented on CUDA.
• https://github.com/danaberman/non-local-dehazing MATLAB implementation of the paper "Non-Local Image Dehazing"
• https://github.com/evmavrop/Hyperion Implementation of "An Efficient and Integrated Algorithm for Video Enhancement in Challenging Lighting Conditions."
• https://github.com/trocolit2/dehaze_underwater_image Underwater. Implementation of "Enhancing underwater images and videos by fusion Video demonstration"
• https://github.com/hezhangsprinter/DCPDN Densely Connected Pyramid Dehazing Network

super-resolution

• https://github.com/YapengTian/Single-Image-Super-Resolution A collection of high-impact and state-of-the-art SR methods
• https://github.com/david-gpu/srez Image super-resolution through deep learning (DCGAN)
• https://github.com/thstkdgus35/EDSR-PyTorch PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
• https://github.com/leftthomas/ESPCN A PyTorch implementation of ESPCN based on CVPR 2016 paper "Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network"
• https://github.com/icpm/super-resolution A collection of super-resolution models & algorithms
• https://github.com/nagadomi/waifu2x waifu2x. Image Super-Resolution for Anime-Style Art
• https://github.com/shivsurya/superResolution_sparseRepresentation Matlab implementation of super-resolution algorithm via sparse representation of Raw patches in images
• https://github.com/titu1994/Image-Super-Resolution Implementation of Image Super Resolution CNN in Keras from the paper Image Super-Resolution Using Deep Convolutional Networks.Also contains models that outperforms the above mentioned model, termed Expanded Super Resolution, Denoiseing Auto Encoder, SRCNN which outperforms both of the above models and Deep Denoise SR, which with certain limitations, outperforms all of the above.
• https://github.com/falsr/FALSR Fast, Accurate and Lightweight Super-Resolution models from xiaomi
• https://github.com/jiny2001/dcscn-super-resolution A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.
• https://github.com/LoSealL/VideoSuperResolution A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
• https://github.com/nmhkahn/CARN-pytorch CARN. Official implementation of Efficient Cascading Residual Network for SR

HDR & Tonemapping

• https://github.com/cadik/TMS Tone Mapping Studio with many algo implementation.
• https://github.com/banterle/HDR_Toolbox HDR Toolbox for processing High Dynamic Range (HDR) images into MATLAB and Octave
• https://github.com/Ockhius/hdr_tonemapping_fattal02 Gradient Domain High Dynamic Range Compression.
• https://github.com/liuguoyou/HDR-Fast-Local-Laplacian HDR recovering and tonemapping using fast local laplacian approach
• https://github.com/MarcioCerqueira/HDRI Some algorithms for High Dynamic Range Imaging in C++
• https://github.com/cnr-isti-vclab/piccante a C++11 image processing library aimed to provide structures and functionalities for enabling both High Dynamic Range (HDR) and standard imaging.
• https://github.com/ishtiaqrasool/IEEE-TIE-2018-TMO Implementation of "A new tone-mapping technique based on histogram using a sensitivity model of the human visual system"
• https://github.com/humplee/EECE_541_ANTIFLK Based on stelios's work. Removes flickering on brightness created by Histogram Equalization based HDR Tone Mapping.
• https://github.com/dvolgyes/TMO4CT Tone mapping for CT images
• http://www.cs.huji.ac.il/~danix/epd/ Edge-Preserving Decompositions for Multi-Scale Tone and Detail Manipulation
• hamburgerlady/democratic-tonemap Matlab/mex implementation of HDR image tone mapping described in "Democratic Tone Mapping Using Optimal K-means Clustering", M. Oskarsson, in proc SCIA'15
• https://github.com/szhang67/HDR-and-Backlight-Paper-Collection Collections of LDR-HDR tone mapping and inverse tone mapping papers as well as papers focuses on backlight correction
• https://github.com/odiofan/L1L0_TM-CVPR2018 Codes for "A Hybrid L1-L0 Layer Decomposition Model for Tone Mapping," in CVPR 2018

coloring

• https://github.com/emilwallner/Coloring-greyscale-images Coloring black and white images with deep learning with Keras.
• https://github.com/jantic/DeOldify A Deep Learning based project for colorizing and restoring old images with pytorch and fastai.
• https://github.com/Rm1n90/Colorizing-Infrared-Images Colorizing Near Infrared Images through a Cyclic Adversarial Approach of Unpaired Samples - CVPRw2019. No codes yet.
• https://github.com/richzhang/colorization Automatic colorization using deep neural networks. "Colorful Image Colorization." ECCV, 2016.
• https://github.com/satoshiiizuka/siggraph2016_colorization Code for the paper 'Let there be Color!: Joint End-to-end Learning of Global and Local Image Priors for Automatic Image Colorization with Simultaneous Classification'. SIGGRAPH 2016
• https://github.com/ArkaJU/Image-Colorization-CycleGAN Colorization of grayscale images using CycleGAN in TensorFlow.
• https://github.com/jrosebr1/color_transfer Performs color transfer between two images. Loosely based on the "Color Transfer between Images" paper by Reinhard et al., 2001.
• https://github.com/hangong/reinhard_color_transfer Matlab implementation of the paper: Erik Reinhard, Michael Ashikhmin, Bruce Gooch and Peter Shirley, 'Color Transfer between Images'

image fusion

• https://github.com/zhengliu6699/imageFusionMetrics Matlab code for image fusion metrics of "Objective assessment of multiresolution image fusion algorithms for context enhancement in Night vision: A comparative study", 2012, PAMI
• https://github.com/hli1221/imagefusion_deeplearning Infrared and visible image fusion using deep learning framework(multi-layers strategy)
• https://github.com/hli1221/imagefusion_Infrared_visible_latlrr infrared anf visible image fusion using latent low-rank representation
• https://github.com/hli1221/imagefusion_densefuse Infrared and visible image fusion using CNN layers and dense block architecture.
• https://github.com/uzeful/Infrared-and-Visual-Image-Fusion-via-Infrared-Feature-Extraction-and-Visual-Information-Preservation Matlab code for "Infrared and Visual Image Fusion through Infrared Feature Extraction and Visual Information Preservation"
• https://github.com/JinleiMa/Image-fusion-with-VSM-and-WLS Infrared and visible image fusion based on visual saliency map and weighted least square optimization
• https://github.com/Chang-Li-HFUT/FusionGAN FusionGAN: A generative adversarial network for infrared and visible image fusion

Optimization

• https://github.com/ermig1979/Simd C++ image processing library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.