Low-light image enhancement (LLIE) aims to improve low-illumination images. However, existing methods face two challenges: (1) uncertainty in restoration from diverse brightness degradations; (2) loss of texture
Diffusion models have achieved promising results in image restoration tasks, yet suffer from time-consuming, excessive computational resource consumption, and unstable restoration. To address these issues, we propose a robust and efficient Diffusion-based Low-Light image enhancement approach, dubbed DiffLL...
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ImageEnhancement Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc. Dependencies Python 3.6 TensorFlow v1.15 OpenCV Pillow scikit-image Models Implementations of the following models are provided: CycleGAN by Zhu et al.:Paper|Code ...
Reza, A.M.: Realization of the contrast limited adaptive histogram equalization (clahe) for real-time image enhancement. J. VLSI Signal Process. Syst. 38(1), 35–44 (2004). doi: 10.1023/B:VLSI.0000028532.53893.82 Google Scholar Ritter, N., Cooper, J.: Locating the iris: A first step...
Seeking API for Advanced Auto Image Enhancement Similar to Photos App's Auto Feature Hi everyone, I've been working with the autoAdjustmentFilters provided by Core Image, which includes filters like CIHighlightShadowAdjust, CIVibrance, and CIToneCurve. However, I’ve noticed that the results ...
based on the light-weight network structure and effective training data, our UWCNN model can be easily extended to underwater videos for frame-by-frame enhancement. Specifically, combining an underwater imaging physical model with optical properties of underwater scenes, we first synthesize underwater...
The application of new technology, the rapid enhancement of computing capacity and large data analysis, caused the current image encryption algorithms to emerge the hidden dangers in security. It’s necessary to study novel and safer cryptosystem to meet the current safety requirements in the area ...
Code Issues Pull requests GAN, SSGAN, WGAN, and VAE are neural networks for content generation. GAN generates realistic images, SSGAN improves quality, WGAN ensures stability, and VAE compresses data to learn features. Applications include image generation, quality enhancement, and fraud detection....
Official Code for "Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model". A SOTA algorithm in low-light image enhancement, underwater image enhancement, and backlit image enhancement. low-light-image-enhancementunderwater-image-enhancementbacklit-image-enhancement ...