Image Enhancement

86 papers with code • 1 benchmarks • 7 datasets

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

Greatest papers with code

EnlightenGAN: Deep Light Enhancement without Paired Supervision

kritiksoman/GIMP-ML 17 Jun 2019

Deep learning-based methods have achieved remarkable success in image restoration and enhancement, but are they still competitive when there is a lack of paired training data?

Image Restoration Low-Light Image Enhancement

Deep Bilateral Learning for Real-Time Image Enhancement

google/hdrnet 10 Jul 2017

For this, we introduce a new neural network architecture inspired by bilateral grid processing and local affine color transforms.

Image Enhancement

Deep Retinex Decomposition for Low-Light Enhancement

weichen582/RetinexNet 14 Aug 2018

Based on the decomposition, subsequent lightness enhancement is conducted on illumination by an enhancement network called Enhance-Net, and for joint denoising there is a denoising operation on reflectance.

Denoising Low-Light Image Enhancement

Getting to Know Low-light Images with The Exclusively Dark Dataset

cs-chan/Exclusively-Dark-Image-Dataset 29 May 2018

Thus, we propose the Exclusively Dark dataset to elevate this data drought, consisting exclusively of ten different types of low-light images (i. e. low, ambient, object, single, weak, strong, screen, window, shadow and twilight) captured in visible light only with image and object level annotations.

Low-Light Image Enhancement Object Detection

Learning Enriched Features for Real Image Restoration and Enhancement

swz30/MIRNet ECCV 2020

With the goal of recovering high-quality image content from its degraded version, image restoration enjoys numerous applications, such as in surveillance, computational photography, medical imaging, and remote sensing.

Image Denoising Image Enhancement +2

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Li-Chongyi/Zero-DCE CVPR 2020

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE), which formulates light enhancement as a task of image-specific curve estimation with a deep network.

Face Detection Low-Light Image Enhancement

Single Image Reflection Separation with Perceptual Losses

ceciliavision/perceptual-reflection-removal CVPR 2018

Our loss function includes two perceptual losses: a feature loss from a visual perception network, and an adversarial loss that encodes characteristics of images in the transmission layers.

Image Enhancement Reflection Removal +1

An Experimental-based Review of Image Enhancement and Image Restoration Methods for Underwater Imaging

wangyanckxx/Single-Underwater-Image-Enhancement-and-Color-Restoration 7 Jul 2019

Underwater images play a key role in ocean exploration, but often suffer from severe quality degradation due to light absorption and scattering in water medium.

Image Enhancement Image Restoration

Blind Video Temporal Consistency via Deep Video Prior

ChenyangLEI/deep-video-prior NeurIPS 2020

Extensive quantitative and perceptual experiments show that our approach obtains superior performance than state-of-the-art methods on blind video temporal consistency.

Colorization Image Dehazing +3