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hdr

Reconstructing clear RGB images from HDR raw data

hdr_net_google

hdrmerge

Scientific RAW to HDR merging tool

hyperspectral-image-denoising-benchmark

A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.

illumination-adaptive-transformer

[BMVC 2022] You Only Need 90K Parameters to Adapt Light: A Light Weight Transformer for Image Enhancement and Exposure Correction.

image-adaptive-3dlut

Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time

image-denoising-state-of-the-art

image-filter_java

a Java reimplement of bilateral filter

image-processing-datasets

image-smoothing-state-of-the-art

Codes of SOTA Image Smoothing Methods

imagefusion_densefuse

DenseFuse (IEEE TIP 2019) - TensorFlow

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

kind

Kindling the Darkness: a Practical Low-light Image Enhancer

kind_plus

Beyond Brightening Low-light Images

linear-rnn

Keras implementation of LRNN based on Liusifei's work - "Learning Recursive Filters for Low-Level Vision via a Hybrid Neural Network"

llnet_color

Official implementation for color version of: LLNet: A deep autoencoder approach to natural low-light image enhancement by Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

lowlevelvision

mbllen

Code for “MBLLEN: Low-light Image/Video Enhancement Using CNNs”, BMVC 2018.

mef-ssimd

Perceptual Evaluation for Multi-Exposure Image Fusion of Dynamic Scenes

mefnet

Official Implementation of MEF-Net

mirnet

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

mobilenext

my-tv

我的电视 电视直播软件，安装即可使用

niqe

NIQE for IQA in python..

opence

Contrast Enhancement Techniques for low-light images

openisp

Image Signal Processor

pienet

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

rdgan

ICME 2019 paper "RDGAN: Retinex Decomposition based Adversarial Learning for Low-Light Enhancement"