#计算机科学#[ECCV 2024] InstructIR: High-Quality Image Restoration Following Human Instructions https://huggingface.co/spaces/marcosv/InstructIR
#计算机科学#AI Image Signal Processing and Computational Photography. Official library for NTIRE (CVPR) and AIM (ICCV/ECCV) Challenges. You will find Learned ISPs, RAW Restoration-Upsampling-Reconstruction, Image...
Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"
#计算机科学#DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022
🔥 Real-time Super Resolution enhancement (4x) with content loss and relativistic adversarial optimization 🔥
#计算机科学#[AAAI 2024] NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. Project Website https://mv-lab.github.io/nilut/
#计算机科学#✋🏼🛑 This one stop project is a complete COVID-19 detection package comprising of 3 tasks: • Task 1 --> COVID-19 Classification • Task 2 --> COVID-19 Infection Segmentation • Task 3 --> Lung Segmenta...
[ECCV 2024] This is the official code for the paper "Fast Context-Based Low-Light Image Enhancement via Neural Implicit Representations"
Fast image noise estimation (Estimation of Gaussian, signal-dependent, and processed noise in Image and Video Signals)
image filtering techniques in python with examples
An implementation of a fuzzy color image enhancement algorithm
Implementation of [IEEE] Low Light Image Enhancement Network With Attention Mechanism and Retinex Model (ReANet)
Pytorch implementation of the paper: Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement.
#计算机科学# Image denoising using both traditional FFT-based filtering and a deep learning approach with DnCNN for comparative performance analysis.
#计算机科学#Automating detecting tigers 🐅 in the wild 🌳 by handling illumination issues 💡 with the help of EnlightenGAN 🏞️
Contents of exercises and projects of Selected Topics in Image Processing and Applications (Xử lý ảnh và ứng dụng) - CS406
Use AI to enhance and upscale your low-quality images: A Google Colab notebook to inference Real-ESRGAN model
该项目为LZU人工智能实践配套工作的图像预处理部分，包含基于Canny算子加权引导滤波的Retinex医学图像增强算法论文复现以及简单图像预处理工作。
Image restoration for deep-sea ROV underwater images and videos.
Identification of Species of Medicinal Leaves using a pre-trained CNN model