A fusion-based enhancing method for weakly illuminated images

X Fu, D Zeng, Y Huang, Y Liao, X Ding, J Paisley - Signal Processing, 2016 - Elsevier
We propose a straightforward and efficient fusion-based method for enhancing weakly
illumination images that uses several mature image processing techniques. First, we employ …

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

X Wang, Y Chen, Y Gao, H Zhang, Z Guan… - Nature …, 2021 - nature.com
N-staging is a determining factor for prognostic assessment and decision-making for stage-
based cancer therapeutic strategies. Visual inspection of whole-slides of intact lymph nodes …

Application of variational autoEncoder (VAE) model and image processing approaches in game design

HWL Mak, R Han, HHF Yin - Sensors, 2023 - mdpi.com
In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and
capability in image generation and dimensionality reduction. The combination of VAE and …

No-reference quality assessment of contrast-distorted images using contrast enhancement

J Yan, J Li, X Fu - arXiv preprint arXiv:1904.08879, 2019 - arxiv.org
No-reference image quality assessment (NR-IQA) aims to measure the image quality without
reference image. However, contrast distortion has been overlooked in the current research …

ERN: Edge loss reinforced semantic segmentation network for remote sensing images

S Liu, W Ding, C Liu, Y Liu, Y Wang, H Li - Remote Sensing, 2018 - mdpi.com
The semantic segmentation of remote sensing images faces two major challenges: high
inter-class similarity and interference from ubiquitous shadows. In order to address these …

Invertible image decolorization

R Zhao, T Liu, J Xiao, DPK Lun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Invertible image decolorization is a useful color compression technique to reduce the cost in
multimedia systems. Invertible decolorization aims to synthesize faithful grayscales from …

Online robust dictionary learning

C Lu, J Shi, J Jia - Proceedings of the IEEE conference on …, 2013 - openaccess.thecvf.com
Online dictionary learning is particularly useful for processing large-scale and dynamic data
in computer vision. It, however, faces the major difficulty to incorporate robust functions …

不同照度下煤矸图像灰度及纹理特征提取的实验研究

王家臣, 李良晖, 杨胜利 - 煤炭学报, 2018 - mtxb.com.cn
研究煤和矸石在不同照度下的响应特性, 设计了差异照度煤矸图像采集系统,
进行了煤矸图像采集实验, 建立了煤矸灰度子图像数据库, 对数据库中的子图像的灰度 …

Objective quality assessment for color-to-gray image conversion

K Ma, T Zhao, K Zeng, Z Wang - IEEE Transactions on Image …, 2015 - ieeexplore.ieee.org
Color-to-gray (C2G) image conversion is the process of transforming a color image into a
grayscale one. Despite its wide usage in real-world applications, little work has been …

Contrast preserving decolorization with perception-based quality metrics

C Lu, L Xu, J Jia - International journal of computer vision, 2014 - Springer
Converting color images into grayscale ones suffer from information loss. In the meantime, it
is one fundamental tool indispensable for single channel image processing, digital printing …