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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Datasets

Latest papers without code

LAFFNet: A Lightweight Adaptive Feature Fusion Network for Underwater Image Enhancement

4 May 2021

The model is the encoder-decoder model with multiple adaptive feature fusion (AAF) modules.

DEPTH ESTIMATION IMAGE ENHANCEMENT OBJECT DETECTION

Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

27 Apr 2021

As a result, our network can effectively improve the visual quality of underwater images by exploiting multiple color spaces embedding and the advantages of both physical model-based and learning-based methods.

IMAGE ENHANCEMENT

Unsupervised Hyperspectral Stimulated Raman Microscopy Image Enhancement: De-Noising and Segmentation via One-Shot Deep Learning

14 Apr 2021

Hyperspectral stimulated Raman scattering (SRS) microscopy is a powerful label-free, chemical-specific technique for biomedical and mineralogical imaging which can suffer from low signal-to-noise ratios due to requirements of low input laser power or fast imaging, or from optical scattering and low target concentration.

IMAGE ENHANCEMENT SEMANTIC SEGMENTATION UNSUPERVISED IMAGE SEGMENTATION

Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy

8 Apr 2021

The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively.

IMAGE ENHANCEMENT

Enhancing Underwater Image via Adaptive Color and Contrast Enhancement, and Denoising

2 Apr 2021

To address these visual degradations, we propose a novel scheme by constructing an adaptive color and contrast enhancement, and denoising (ACCE-D) framework for underwater image enhancement.

DENOISING IMAGE ENHANCEMENT

Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution

4 Mar 2021

We went below the MRI acceleration factors (a. k. a., k-space undersampling) reported by all published papers that reference the original fastMRI challenge, and then considered powerful deep learning based image enhancement methods to compensate for the underresolved images.

IMAGE ENHANCEMENT SSIM

K-means Segmentation Based-on Lab Color Space for Embryo Egg Detection

3 Mar 2021

Based on this process and results, K-means segmentation based on Lab color space can be used for the initial stages of the embryo detection process.

IMAGE ENHANCEMENT SEMANTIC SEGMENTATION

Color-Coded Symbology and New Computer Vision Tool to Predict the Historical Color Pallets of the Renaissance Oil Artworks

27 Feb 2021

We believe that framework might be very useful in the prediction of color palletes of the Renaissance oil artworks and other artworks.

IMAGE ENHANCEMENT

Histogram Specification by Assignment of Optimal Unique Values

4 Feb 2021

Two sets of results show the effectiveness of the proposed algorithms when compared to traditional and state-of-the-art methods.

IMAGE ENHANCEMENT