About

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

Benchmarks

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Subtasks

Datasets

Latest papers with code

Lighting the Darkness in the Deep Learning Era

21 Apr 2021Li-Chongyi/Lighting-the-Darkness-in-the-Deep-Learning-Era-Open

In addition to qualitative and quantitative evaluation of existing methods on publicly available and our proposed datasets, we also validate their performance in face detection in the dark.

FACE DETECTION LOW-LIGHT IMAGE ENHANCEMENT

56
21 Apr 2021

A Two-stage Deep Network for High Dynamic Range Image Reconstruction

19 Apr 2021sharif-apu/twostageHDR_NTIRE21

Notably, our proposed method aims to reconstruct an HDR image without knowing hardware information, including camera response function (CRF) and exposure settings.

DENOISING IMAGE ENHANCEMENT IMAGE RECONSTRUCTION IMAGE-TO-IMAGE TRANSLATION

5
19 Apr 2021

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

19 Mar 2021kuijiang0802/DRGN

Different from existing methods, which tend to accomplish the enhancement task directly, we investigate the intrinsic degradation and relight the low-light image while refining the details and color in two steps.

LOW-LIGHT IMAGE ENHANCEMENT

15
19 Mar 2021

UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color Space

12 Mar 2021BIGWangYuDong/UWEnhancement

However, almost all of these algorithms employ RGB color space setting, which is insensitive to image properties such as luminance and saturation.

DENOISING IMAGE ENHANCEMENT

11
12 Mar 2021

Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks

10 Mar 2021PS06/Copy_Blend

However, as these techniques destroy spatial relationship with neighboring regions, performance can be deteriorated when using them to train algorithms designed for low level vision tasks (low light image enhancement, image dehazing, deblurring, etc.)

DATA AUGMENTATION DEBLURRING IMAGE CLASSIFICATION IMAGE DEHAZING LOW-LIGHT IMAGE ENHANCEMENT OBJECT DETECTION SEMANTIC SEGMENTATION

5
10 Mar 2021

Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation

1 Mar 2021Li-Chongyi/Zero-DCE_extension

This 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 IMAGE ENHANCEMENT

15
01 Mar 2021

Self-supervised Low Light Image Enhancement and Denoising

1 Mar 2021hitzhangyu/V2-Self-supervised-Image-Enhancement-Network-Training-With-Low-Light-Images-Only

Both of the networks can be trained with low light images only, which is achieved by a Maximum Entropy based Retinex (ME-Retinex) model and an assumption that noises are independently distributed.

DENOISING LOW-LIGHT IMAGE ENHANCEMENT

6
01 Mar 2021

Plug-and-Play gradient-based denoisers applied to CT image enhancement

15 Feb 2021sedaboni/PnP-TV

In particular, we consider different schemes encompassing external and internal denoisers as priors, defined on the image gradient domain.

COMPUTED TOMOGRAPHY (CT) IMAGE ENHANCEMENT IMAGE RESTORATION

0
15 Feb 2021

Deep Photo Scan: Semi-supervised learning for dealing with the real-world degradation in smartphone photo scanning

11 Feb 2021minhmanho/dpscan

One solution is to train a supervised deep neural network on many digital photos and the corresponding scanned photos.

IMAGE ENHANCEMENT

10
11 Feb 2021

Underwater Image Enhancement via Learning Water Type Desensitized Representations

1 Feb 2021Boyiliee/PONO

Considering the diversity of degradation is mainly rooted in the strong correlation among pixels, we apply whitening to de-correlates activations across spatial dimensions for each instance in a mini-batch.

IMAGE ENHANCEMENT

115
01 Feb 2021