With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in …
J Wu, J Zeng, W Dong, G Shi, W Lin - Journal of Visual Communication and …, 2019 - Elsevier
Though blind image quality assessment (BIQA) is highly desired in perceptual-oriented image processing systems, it is extremely difficult to design a reliable BIQA method. With the …
Abstract No-reference (NR)/blind image quality assessment (IQA) metrics play an important role in the area of image processing. Natural scene statistics (NSS) model assumes that …
Z Chen, J Lin, N Liao, CW Chen - IEEE Transactions on Image …, 2017 - ieeexplore.ieee.org
Image retargeting technology has been widely studied to adapt images for the devices with heterogeneous screen resolutions. Meanwhile effective objective retargeting quality …
Handwriting recognition (HWR) in Indic scripts is a challenging problem due to the inherent subtleties in the scripts, cursive nature of the handwriting and similar shape of the …
X Du, L Zheng, J Zhu, H Cen, Y He - Drones, 2024 - mdpi.com
With the growing prominence of UAV-based low-altitude remote sensing in agriculture, the acquisition and processing of high-quality UAV remote sensing images is paramount. The …
Many studies have indicated that predicting users' perception of visual quality depends on various factors other than artifact visibility alone, such as viewing environment, social …
Y Zhang, DM Chandler - Image Quality and System …, 2013 - spiedigitallibrary.org
In this paper, we propose a new method for blind/no-reference image quality assessment based on the log-derivative statistics of natural scenes. The new method, called DErivative …
Y Chen, Y Zhao, S Li, W Zuo, W Jia… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Current blind image quality assessment (BIQA) algorithms are mainly designed for natural images. Unfortunately, cartoon and cartoon-like images are quite different from natural …