70 citations · 109 across the 9 of their papers we have counts for
10 papers
Dual-Scale Single Image Dehazing Via Neural Augmentation
Zhengguo Li, Chaobing Zheng, Haiyan Shu +1
Model-based single image dehazing algorithms restore haze-free images with sharp edges and rich details for real-world hazy images at the expense of low PSNR and SSIM values for sy…
Adaptive Weighted Guided Image Filtering for Depth Enhancement in Shape-From-Focus
Yuwen Li, Zhengguo Li, Chaobing Zheng +1
Existing shape from focus (SFF) techniques cannot preserve depth edges and fine structural details from a sequence of multi-focus images. Moreover, noise in the sequence of multi-f…
Hybrid Saturation Restoration for LDR Images of HDR Scenes
Chaobing Zheng, Zhengguo Li, Shiqian Wu
There are shadow and highlight regions in a low dynamic range (LDR) image which is captured from a high dynamic range (HDR) scene. It is an ill-posed problem to restore the saturat…
Single image dehazing via combining the prior knowledge and CNNs
Yuwen Li, Chaobing Zheng, Shiqian Wu +1
Aiming at the existing single image haze removal algorithms, which are based on prior knowledge and assumptions, subject to many limitations in practical applications, and could su…
Robust Alignment of Multi-Exposed Images with Saturated Regions
Jun Jiang, Zhengguo Li, Shoulie Xie +2
It is challenging to align multi-exposed images due to large illumination variations, especially in presence of saturated regions. In this paper, a novel image alignment algorithm…
Single Image Brightening via Multi-Scale Exposure Fusion with Hybrid Learning
Chaobing Zheng, Zhengguo Li, Yi Yang +1
A small ISO and a small exposure time are usually used to capture an image in the back or low light conditions which results in an image with negligible motion blur and small noise…
Illumination Normalization via Merging Locally Enhanced Textures for Robust Face Recognition
Chaobing Zheng, Shiqian Wu, Wangming Xu +1
In order to improve the accuracy of face recognition under varying illumination conditions, a local texture enhanced illumination normalization method based on fusion of differenti…
Exposure Interpolation by Combining Model-driven and Data-driven Methods
Chaobing Zheng, Zhengguo Li, Shiqian Wu
Deep learning based methods have penetrated many image processing problems and become dominant solutions to these problems. A natural question raised here is "Is there any space fo…
A novel online multi-label classifier for high-speed streaming data applications
Rajasekar Venkatesan, Meng Joo Er, Mihika Dave +2
In this paper, a high-speed online neural network classifier based on extreme learning machines for multi-label classification is proposed. In multi-label classification, each of t…
A Novel Online Real-time Classifier for Multi-label Data Streams
Rajasekar Venkatesan, Meng Joo Er, Shiqian Wu +1
In this paper, a novel extreme learning machine based online multi-label classifier for real-time data streams is proposed. Multi-label classification is one of the actively resear…