71 citations · 127 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 39 cited
Just Noticeable Difference for Deep Machine Vision
Jian Jin, Xingxing Zhang, Xin Fu +4
As an important perceptual characteristic of the Human Visual System (HVS), the Just Noticeable Difference (JND) has been studied for decades with image and video processing (e.g.,…
cs.CV2019★ 71 cited
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
Jia Yan, Jie Li, Xin Fu
No-reference image quality assessment (NR-IQA) aims to measure the image quality without reference image. However, contrast distortion has been overlooked in the current research o…
cs.CV2019★ 17 cited
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models
Xin Fu, Jia Yan, Cien Fan
Deep convolutional neural networks have recently achieved great success on image aesthetics assessment task. In this paper, we propose an efficient method which takes the global, l…