10 citations · 19 across the 9 of their papers we have counts for
9 papers
Heavy Rain Face Image Restoration: Integrating Physical Degradation Model and Facial Component Guided Adversarial Learning
Chang-Hwan Son, Da-Hee Jeong
With the recent increase in intelligent CCTVs for visual surveillance, a new image degradation that integrates resolution conversion and synthetic rain models is required. For exam…
New Encoder Learning for Captioning Heavy Rain Images via Semantic Visual Feature Matching
Chang-Hwan Son, Pung-Hwi Ye
Image captioning generates text that describes scenes from input images. It has been developed for high quality images taken in clear weather. However, in bad weather conditions, s…
Layer Decomposition Learning Based on Gaussian Convolution Model and Residual Deblurring for Inverse Halftoning
Chang-Hwan Son
Layer decomposition to separate an input image into base and detail layers has been steadily used for image restoration. Existing residual networks based on an additive model requi…
Inverse Halftoning Through Structure-Aware Deep Convolutional Neural Networks
Chang-Hwan Son
The primary issue in inverse halftoning is removing noisy dots on flat areas and restoring image structures (e.g., lines, patterns) on textured areas. Hence, a new structure-aware…
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network
Hee-Jin Yu, Chang-Hwan Son
A new method of recognizing apple leaf diseases through region-of-interest-aware deep convolutional neural network is proposed in this paper. The primary idea is that leaf disease…
Multimodal Fusion via a Series of Transfers for Noise Removal
Chang-Hwan Son, Xiao-Ping Zhang
Near-infrared imaging has been considered as a solution to provide high quality photographs in dim lighting conditions. This imaging system captures two types of multimodal images:…
Rain structure transfer using an exemplar rain image for synthetic rain image generation
Chang-Hwan Son, Xiao-Ping Zhang
This letter proposes a simple method of transferring rain structures of a given exemplar rain image into a target image. Given the exemplar rain image and its corresponding masked…
Rain Removal via Shrinkage-Based Sparse Coding and Learned Rain Dictionary
Chang-Hwan Son, Xiao-Ping Zhang
This paper introduces a new rain removal model based on the shrinkage of the sparse codes for a single image. Recently, dictionary learning and sparse coding have been widely used…
Near-Infrared Image Dehazing Via Color Regularization
Chang-Hwan Son, Xiao-Ping Zhang
Near-infrared imaging can capture haze-free near-infrared gray images and visible color images, according to physical scattering models, e.g., Rayleigh or Mie models. However, ther…