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Continuous Assessment of Image Quality
SMPTE Journal, 1997This paper addresses the question of whether subjects are able to assess the perceived time-varying quality of video sequences continuously. To this end, a method is used in which subjects continuously indicate the perceived image quality by moving a slider along a graphical scale.
Hamberg, R., Ridder, de, H.
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Attentive Deep Image Quality Assessment for Omnidirectional Stitching
IEEE Journal on Selected Topics in Signal Processing, 2023Omnidirectional images or videos are commonly generated via the stitching of multiple images or videos, and the quality of omnidirectional stitching strongly influences the quality of experience (QoE) of the generated scenes.
Huiyu Duan +5 more
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VCRNet: Visual Compensation Restoration Network for No-Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2022Guided by the free-energy principle, generative adversarial networks (GAN)-based no-reference image quality assessment (NR-IQA) methods have improved the image quality prediction accuracy.
Zhaoqing Pan +5 more
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Quality Assessment of Deblocked Images
IEEE Transactions on Image Processing, 2011We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questionable PSNR, we instead propose a block-sensitive index, named PSNR-B, that produces objective judgments that accord with observations.
Changhoon, Yim, Alan Conrad, Bovik
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2019
Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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A Multiscale Approach to Deep Blind Image Quality Assessment
IEEE Transactions on Image Processing, 2023Faithful measurement of perceptual quality is of significant importance to various multimedia applications. By fully utilizing reference images, full-reference image quality assessment (FR-IQA) methods usually achieve better prediction performance.
Manni Liu +4 more
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Omnidirectional Image Quality Assessment by Distortion Discrimination Assisted Multi-Stream Network
IEEE transactions on circuits and systems for video technology (Print), 2022Omnidirectional image (OI) quality assessment is crucial to facilitate the development of virtual reality (VR) related technology. In this work, a distortion discrimination assisted multi-stream network is proposed for OI quality assessment.
Yu Zhou +4 more
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Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Neural Information Processing SystemsWhile recent advancements in large multimodal models (LMMs) have significantly improved their abilities in image quality assessment (IQA) relying on absolute quality rating, how to transfer reliable relative quality comparison outputs to continuous ...
Hanwei Zhu +9 more
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Enhancing Descriptive Image Quality Assessment With a Large-Scale Multi-Modal Dataset
IEEE Transactions on Image ProcessingWith the rapid advancement of Vision Language Models (VLMs), VLM-based Image Quality Assessment (IQA) seeks to describe image quality linguistically to align with human expression and capture the multifaceted nature of IQA tasks. However, current methods
Zhiyuan You +6 more
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Blind Image Quality Assessment via Adaptive Graph Attention
IEEE transactions on circuits and systems for video technology (Print)Recent advancements in blind image quality assessment (BIQA) are primarily propelled by deep learning technologies. While leveraging transformers can effectively capture long-range dependencies and contextual details in images, the significance of local ...
Huasheng Wang +6 more
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