1 citations · 2 across the 7 of their papers we have counts for
7 papers
GSBIQA: Green Saliency-guided Blind Image Quality Assessment Method
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Blind Image Quality Assessment (BIQA) is an essential task that estimates the perceptual quality of images without reference. While many BIQA methods employ deep neural networks (D…
GreenSaliency: A Lightweight and Efficient Image Saliency Detection Method
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Image saliency detection is crucial in understanding human gaze patterns from visual stimuli. The escalating demand for research in image saliency detection is driven by the growin…
Blind Video Quality Assessment at the Edge
Zhanxuan Mei, Yun-Cheng Wang, C. -C. Jay Kuo
Owing to the proliferation of user-generated videos on the Internet, blind video quality assessment (BVQA) at the edge attracts growing attention. The usage of deep-learning-based…
Lightweight High-Performance Blind Image Quality Assessment
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +2
Blind image quality assessment (BIQA) is a task that predicts the perceptual quality of an image without its reference. Research on BIQA attracts growing attention due to the incre…
Lightweight Image Codec via Multi-Grid Multi-Block-Size Vector Quantization (MGBVQ)
Yifan Wang, Zhanxuan Mei, Ioannis Katsavounidis +1
A multi-grid multi-block-size vector quantization (MGBVQ) method is proposed for image coding in this work. The fundamental idea of image coding is to remove correlations among pix…
GreenBIQA: A Lightweight Blind Image Quality Assessment Method
Zhanxuan Mei, Yun-Cheng Wang, Xingze He +1
Deep neural networks (DNNs) achieve great success in blind image quality assessment (BIQA) with large pre-trained models in recent years. Their solutions cannot be easily deployed…
A Machine Learning Approach to Optimal Inverse Discrete Cosine Transform (IDCT) Design
Yifan Wang, Zhanxuan Mei, Chia-Yang Tsai +2
The design of the optimal inverse discrete cosine transform (IDCT) to compensate the quantization error is proposed for effective lossy image compression in this work. The forward…