Results 21 to 30 of about 3,246 (209)
Retinex-qDPC: automatic background rectified quantitative differential phase contrast imaging [PDF]
, 2022 The quality of quantitative differential phase contrast reconstruction (qDPC) can be severely degenerated by the mismatch of the background of two oblique illuminated images, yielding problematic phase recovery results.
Tao Peng (81319) +5 more
core +3 more sources
A Review of Remote Sensing Image Dehazing
Sensors, 2021 Remote sensing (RS) is one of the data collection technologies that help explore more earth surface information. However, RS data captured by satellite are susceptible to particles suspended during the imaging process, especially for data with visible ...
Juping Liu +4 more
doaj +1 more source
Retinex mine image enhancement algorithm based on TopHat weighted guided filtering
Gong-kuang zidonghua, 2022 The uneven distribution of light sources and weak light in coal mines lead to low brightness and unclear image. The traditional Retinex algorithm has the problems of detail loss, edge blur and halo when processing low illumination images of coal mines ...
HONG Yan, ZHU Danping, GONG Pingshun
doaj +1 more source
Cervical Precancerous Lesion Image Enhancement Based on Retinex and Histogram Equalization
Mathematics, 2023 Cervical cancer is a prevalent chronic malignant tumor in gynecology, necessitating high-quality images of cervical precancerous lesions to enhance detection rates.
Yuan Ren, Zhengping Li, Chao Xu
doaj +1 more source
Journal of Applied Science and Engineering, 2022 In the maintenance of outdoor power equipment, the enhancement and segmentation of infrared heat map is the key to the intelligent development of diagnosis and troubleshooting in the future.
Xiaojing Hu, Yanyong Han, Rui Yang
doaj +1 more source
EIEN: Endoscopic Image Enhancement Network Based on Retinex Theory
Sensors, 2022 In recent years, deep convolutional neural network (CNN)-based image enhancement has shown outstanding performance. However, due to the problems of uneven illumination and low contrast existing in endoscopic images, the implementation of medical ...
Ziheng An +6 more
doaj +1 more source
DEANet: Decomposition Enhancement and Adjustment Network for Low-Light Image Enhancement
Tsinghua Science and Technology, 2023 Poor illumination greatly affects the quality of obtained images. In this paper, a novel convolutional neural network named DEANet is proposed on the basis of Retinex for low-light image enhancement.
Yonglong Jiang +4 more
doaj +1 more source
Tuning Retinex parameters [PDF]
Journal of Electronic Imaging, 2004 Our goal is to understand how the Retinex parameters affect the predictions of the model. A simplified Retinex computation is specified in the recent MATLAB TM implementation; however, there remain several free parameters that introduce significant variability into the model's predictions. We extend previous work on specifying these parameters.
Florian Ciurea, Brian V. Funt
openaire +3 more sources
Northern Maize Leaf Blight Detection Under Complex Field Environment Based on Deep Learning
IEEE Access, 2020 Northern maize leaf blight is one of the major diseases that endanger the health of maize. The complex background of the field and different light intensity make the detection of diseases more difficult.
Jun Sun +3 more
doaj +1 more source
An Improved Algorithm for Low-Light Image Enhancement Based on RetinexNet
Applied Sciences, 2022 Due to the influence of the environment and the limit of optical equipment, low-light images produce problems such as low brightness, high noise, low contrast, and color distortion, which have a great impact on their visual perception and the following ...
Hao Tang +3 more
doaj +1 more source