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Image Enhancement

45 papers with code · Computer Vision

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

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Greatest papers with code

EnlightenGAN: Deep Light Enhancement without Paired Supervision

17 Jun 2019yueruchen/EnlightenGAN

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 Retinex Decomposition for Low-Light Enhancement

14 Aug 2018weichen582/RetinexNet

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

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

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

Single Image Reflection Separation with Perceptual Losses

CVPR 2018 ceciliavision/perceptual-reflection-removal

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 SSIM

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

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

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

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

ECCV2018 2018 thangvubk/FEQE

This paper considers a convolutional neural network for image quality enhancement referred to as the fast and efficient quality enhancement (FEQE) that can be trained for either image super-resolution or image enhancement to provide accurate yet visually pleasing images on mobile devices by addressing the following three main issues.

IMAGE ENHANCEMENT IMAGE SUPER-RESOLUTION

Fast Underwater Image Enhancement for Improved Visual Perception

23 Mar 2019xahidbuffon/funie-gan

In this paper, we present a conditional generative adversarial network-based model for real-time underwater image enhancement.

ADVERSARIAL TRAINING IMAGE ENHANCEMENT OBJECT DETECTION POSE ESTIMATION SALIENCY PREDICTION

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

CVPR 2020 Li-Chongyi/Zero-DCE

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

Learning Enriched Features for Real Image Restoration and Enhancement

15 Mar 2020swz30/MIRNet

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 IMAGE RESTORATION SUPER-RESOLUTION