108 citations · 185 across the 14 of their papers we have counts for
15 papers
Neural Block-wise Auto-exposure for Single-Shot High Dynamic Range Imaging
Zhengguo Li, Chaobing Zheng, Wei Wang
Block-wise varying exposures are effective for cap- turing appearance of a real-world high dynamic range (HDR) scene via a single-shot. However, brightness order reversal (BOR) art…
Correlation Analysis of Generative Models
Zhengguo Li, Chaobing Zheng, Wei Wang
Based on literature review about existing diffusion models and flow matching with a neural network to predict a predefined target from noisy data, a unified representation is first…
Unsupervised Learning Based Multi-Scale Exposure Fusion
Chaobing Zheng, Shiqian Wu, Zhenggguo Li
Unsupervised learning based multi-scale exposure fusion (ULMEF) is efficient for fusing differently exposed low dynamic range (LDR) images into a higher quality LDR image for a hig…
Neural Augmentation Based Panoramic High Dynamic Range Stitching
Chaobing Zheng, Yilun Xu, Weihai Chen +3
Due to saturated regions of inputting low dynamic range (LDR) images and large intensity changes among the LDR images caused by different exposures, it is challenging to produce an…
Single Image Deraining via Feature-based Deep Convolutional Neural Network
Chaobing Zheng, Jun Jiang, Wenjian Ying +1
It is challenging to remove rain-steaks from a single rainy image because the rain steaks are spatially varying in the rainy image. Although the CNN based methods have reported pro…
Single Image Deraining via Rain-Steaks Aware Deep Convolutional Neural Network
Chaobing Zheng, Yuwen Li, Shiqian Wu
It is challenging to remove rain-steaks from a single rainy image because the rain steaks are spatially varying in the rainy image. This problem is studied in this paper by combini…
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…
Multi-Scale Single Image Dehazing Using Laplacian and Gaussian Pyramids
Zhengguo Li, Haiyan Shu, Chaobing Zheng
Model driven single image dehazing was widely studied on top of different priors due to its extensive applications. Ambiguity between object radiance and haze and noise amplificati…
Model-Based Single Image Deep Dehazing
Zhengguo Li, Chaobing Zheng, Haiyan Shu +1
Model-based single image dehazing algorithms restore images with sharp edges and rich details at the expense of low PSNR values. Data-driven ones restore images with high PSNR valu…
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…