PyTorch implementation of the DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement
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Updated
Jun 20, 2024 - Python
PyTorch implementation of the DICAM: Deep Inception and Channel-wise Attention Modules for underwater image enhancement
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.
Image Enhancement, Contrast, Illumination, Saturation Adjustment and Noise Reduction and Upscaling with GANs.
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!
demonstrating various digital image processing techniques.
The results obtained from the experiments are compared and analyzed to determine the effectiveness of using triangle pixels in image classification tasks.
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 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
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.
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.
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.
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