A fusion-based enhancing method for weakly illuminated images
We propose a straightforward and efficient fusion-based method for enhancing weakly
illumination images that uses several mature image processing techniques. First, we employ …
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 …
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
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 …
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 …
reference image. However, contrast distortion has been overlooked in the current research …
ERN: Edge loss reinforced semantic segmentation network for remote sensing images
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 …
inter-class similarity and interference from ubiquitous shadows. In order to address these …
Invertible image decolorization
Invertible image decolorization is a useful color compression technique to reduce the cost in
multimedia systems. Invertible decolorization aims to synthesize faithful grayscales from …
multimedia systems. Invertible decolorization aims to synthesize faithful grayscales from …
Online robust dictionary learning
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 …
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 …
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
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 …
grayscale one. Despite its wide usage in real-world applications, little work has been …
Contrast preserving decolorization with perception-based quality metrics
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 …
is one fundamental tool indispensable for single channel image processing, digital printing …