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Image Enhancement

31 papers with code ยท Computer Vision

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Latest papers without code

Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview

8 Jan 2020

Therefore, in order to improve the perception and decision-making ability of autonomous robot systems, Simultaneous localization and mapping (SLAM) and autonomous trajectory planning are widely researched, especially combining learning-based algorithms.

DECISION MAKING IMAGE ENHANCEMENT MONOCULAR DEPTH ESTIMATION MOTION PREDICTION OBJECT DETECTION SEMANTIC SEGMENTATION SIMULTANEOUS LOCALIZATION AND MAPPING

Divide-and-Conquer Adversarial Learning for High-Resolution Image Enhancement

ICLR 2020

This paper introduces a divide-and-conquer inspired adversarial learning (DACAL) approach for photo enhancement.

IMAGE ENHANCEMENT

Self-Supervised Fine-tuning for Image Enhancement of Super-Resolution Deep Neural Networks

30 Dec 2019

While Deep Neural Networks (DNNs) trained for image and video super-resolution regularly achieve new state-of-the-art performance, they also suffer from significant drawbacks.

IMAGE ENHANCEMENT VIDEO SUPER-RESOLUTION

Supervised and Unsupervised Learning of Parameterized Color Enhancement

30 Dec 2019

We treat the problem of color enhancement as an image translation task, which we tackle using both supervised and unsupervised learning.

IMAGE ENHANCEMENT

Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software

17 Dec 2019

This paper tackles unpaired image enhancement, a task of learning a mapping function which transforms input images into enhanced images in the absence of input-output image pairs.

IMAGE ENHANCEMENT

A hierarchical approach to deep learning and its application to tomographic reconstruction

16 Dec 2019

Here we present a novel framework to solve such problems with deep learning by casting the original problem as a continuum of intermediate representations between the input and output data.

COMPUTED TOMOGRAPHY (CT) IMAGE ENHANCEMENT IMAGE RECONSTRUCTION

Adaptive GNN for Image Analysis and Editing

NeurIPS 2019

In practical verification, we design a new regularization structure with guided feature to produce GNN-based filtering and propagation diffusion to tackle the ill-posed inverse problems of quotient image analysis (QIA), which recovers the reflectance ratio as a signature for image analysis or adjustment.

LOW-LIGHT IMAGE ENHANCEMENT

RIS-GAN: Explore Residual and Illumination with Generative Adversarial Networks for Shadow Removal

20 Nov 2019

To our best knowledge, we are the first one to explore residual and illumination for shadow removal.

IMAGE ENHANCEMENT

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging

19 Nov 2019

Additionally, a weighting scheme in the loss computation that favors high-frequency structures is proposed to focus on the important details and contours in projection imaging.

IMAGE ENHANCEMENT