Seven challenges in image quality assessment: past, present, and future research
DM Chandler - International Scholarly Research Notices, 2013 - Wiley Online Library
Image quality assessment (IQA) has been a topic of intense research over the last several
decades. With each year comes an increasing number of new IQA algorithms, extensions of …
decades. With each year comes an increasing number of new IQA algorithms, extensions of …
Making sense of meaning: A survey on metrics for semantic and goal-oriented communication
Semantic communication (SemCom) aims to convey the meaning behind a transmitted
message by transmitting only semantically-relevant information. This semantic-centric …
message by transmitting only semantically-relevant information. This semantic-centric …
Gradient magnitude similarity deviation: A highly efficient perceptual image quality index
It is an important task to faithfully evaluate the perceptual quality of output images in many
applications, such as image compression, image restoration, and multimedia streaming. A …
applications, such as image compression, image restoration, and multimedia streaming. A …
Blind image quality assessment: From natural scene statistics to perceptual quality
AK Moorthy, AC Bovik - IEEE transactions on Image Processing, 2011 - ieeexplore.ieee.org
Our approach to blind image quality assessment (IQA) is based on the hypothesis that
natural scenes possess certain statistical properties which are altered in the presence of …
natural scenes possess certain statistical properties which are altered in the presence of …
QoE in video transmission: A user experience-driven strategy
The increasing popularity of video (ie, audio-visual) applications or services over both wired
and wireless links has prompted recent growing interests in the investigations of quality of …
and wireless links has prompted recent growing interests in the investigations of quality of …
Automatic prediction of perceptual image and video quality
AC Bovik - Proceedings of the IEEE, 2013 - ieeexplore.ieee.org
Finding ways to monitor and control the perceptual quality of digital visual media has
become a pressing concern as the volume being transported and viewed continues to …
become a pressing concern as the volume being transported and viewed continues to …
Leak detection and localization in water distribution networks using conditional deep convolutional generative adversarial networks
This paper explores the use of 'conditional convolutional generative adversarial
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …
networks'(CDCGAN) for image-based leak detection and localization (LD&L) in water …
Facile preparation of a novel red-emissive carbon dots powder formulation and its efficiency evaluation in latent fingerprint development using artificial intelligence
VA Lighvan, N Arsalani - Microchemical Journal, 2024 - Elsevier
The development and comparison of latent fingerprints (LFPs) yield crucial insights within
the realm of forensic science. This procedure involves two-step aimed at enhancing the …
the realm of forensic science. This procedure involves two-step aimed at enhancing the …
Machine learning-enabled optimization of extrusion-based 3D printing
Abstract Machine learning (ML) and three-dimensional (3D) printing are among the fastest-
growing branches of science. While ML can enable computers to independently learn from …
growing branches of science. While ML can enable computers to independently learn from …
No-reference image quality assessment algorithms: A survey
V Kamble, KM Bhurchandi - Optik, 2015 - Elsevier
Abstract Evaluation of noise content or distortions present in an image is same as assessing
the quality of an image. Measurement of such quality index is challenging in the absence of …
the quality of an image. Measurement of such quality index is challenging in the absence of …