24 citations · 36 across the 5 of their papers we have counts for
5 papers
Semantic Segmentation Using Super Resolution Technique as Pre-Processing
Chih-Chia Chen, Wei-Han Chen, Jen-Shiun Chiang +2
Combining high-level and low-level visual tasks is a common technique in the field of computer vision. This work integrates the technique of image super resolution to semantic segm…
CCDWT-GAN: Generative Adversarial Networks Based on Color Channel Using Discrete Wavelet Transform for Document Image Binarization
Rui-Yang Ju, Yu-Shian Lin, Jen-Shiun Chiang +3
To efficiently extract textual information from color degraded document images is a significant research area. The prolonged imperfect preservation of ancient documents has led to…
Resolution Enhancement Processing on Low Quality Images Using Swin Transformer Based on Interval Dense Connection Strategy
Rui-Yang Ju, Chih-Chia Chen, Jen-Shiun Chiang +3
The Transformer-based method has demonstrated remarkable performance for image super-resolution in comparison to the method based on the convolutional neural networks (CNNs). Howev…
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networks
Rui-Yang Ju, Yu-Shian Lin, Yanlin Jin +3
The efficient extraction of text information from the background in degraded color document images is an important challenge in the preservation of ancient manuscripts. The imperfe…
Connection Reduction of DenseNet for Image Recognition
Rui-Yang Ju, Jen-Shiun Chiang, Chih-Chia Chen +1
Convolutional Neural Networks (CNN) increase depth by stacking convolutional layers, and deeper network models perform better in image recognition. Empirical research shows that si…