A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)

PyTorch implementation of the DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement

A repository of the latest work related to underwater image enhancement (awaiting continuous updates). It provides relevant underwater image datasets, along with related literature and code links that have been found. We hope this can be of assistance!

Image Enhancement, Contrast, Illumination, Saturation Adjustment and Noise Reduction and Upscaling with GANs.

Enhance your images with this Python toolkit! Includes color correction, histogram equalization, sharpening, old photo restoration, and upscaling (using interpolation) techniques for improved image quality. Perfect for photography, image processing, and computer vision projects.

Ultra-Realistic Portrait Animation Studio Transform still portraits into lifelike, animated videos using the power of AI. PresentaPulse combines LivePortrait for sophisticated facial animation and Real-ESRGAN for video enhancement, all within a sleek, feature-packed desktop application.

HyperRez: An open-source python library to make your blurry photos shine in just 2 lines of code!

Different techniques to enhance images and extract its features to identify the identical features of different images of the same object

The results obtained from the experiments are compared and analyzed to determine the effectiveness of using triangle pixels in image classification tasks.

demonstrating various digital image processing techniques.

Image Enhance CutouPro is an Android application that allows users to enhance their old images or photos using the CutouPro API. The app utilizes Retrofit 2 for network requests, MVVM and Hilt for dependency injection.

This repository explores Low-Light Image Enhancement (LLIE) using Retinex theory and diffusion models. The focus is on testing the decomposition of images into reflectance and illumination maps using methods like Retinex-Net, with enhancements applied to illumination for improved low-light image quality.

Image Enhancement using ZERO-DCE - Deep Learning project

This is complete Python package module implementing: 1 - Background removal, 2 - Add background color/template. 3 - Enhance image quality, 4 - Resize and compress image, 5 - Resize by custom height*width

This simple image upscaling Django website uses the ESRGAN model to enhance and increase the resolution of images inputted by users. It includes downloading functionality as well as all authentication and authorization functionalities.

Image Magic Suit is a modern python toolkit for background removal, background replacement, quality enhacement, resizing, and intelligent compression, support both color-based nd template-based backgrounds, LANCZOS resizing, and high quality optimization. Ideal for developers, automation system.

This project uses the Python Imaging Library (PIL) to enhance images by improving sharpness, contrast, and flipping image. It's useful for preprocessing images for machine learning models or general photo editing.

A tool to optimize images for the web, allowing conversion, resizing, and compression.

DAULLIE is a two-stage unsupervised deep learning system designed to enhance low-light images across multiple domains. It integrates Retinex-based preprocessing with a refined U-Net + PatchGAN architecture to restore brightness, color, and structural detail without requiring paired training data.

The Image Enhancer project aims to improve the quality of images using various enhancement techniques. This repository contains the code to enhance images through sharpening, denoising, and other image processing methods.