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Image Quality Assessment: A Review to Full Reference Indexes
2018An image quality index plays an increasingly vital role in image processing applications for dynamic monitoring and quality adjustment, optimization and parameter setting of the imaging systems, and finally benchmarking the image processing techniques. All the above goals highly require a sustainable quantitative measure of image quality.
Mahdi Khosravy +3 more
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A weighted full-reference image quality assessment based on visual saliency
Journal of Visual Communication and Image Representation, 2017A full reference image quality assessment based saliency map is proposed.Human visual system is taken account into image quality assessment.The pixels of an image make different contributions in image quality assessment. In full reference image quality assessment (IQA), the images without distortion are usually employed as reference, while the ...
Wen Yang +5 more
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A Full- Reference Quality Assessment Metric for Cartoon Images
2022 IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022Chunyi Li +4 more
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Encoding Distortions for Multi-task Full-Reference Image Quality Assessment
2019 IEEE International Conference on Multimedia and Expo (ICME), 2019Most existing image quality assessment models focus on evaluating the image quality score, however, the quality score alone is not enough to characterize the degeneration. In this paper, we propose a full reference framework named Mask Gated Convolutional Network (MGCN) for evaluating the image quality score and identifying distortions simultaneously ...
Chen Huang +2 more
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Composition-preserving deep approach to full-reference image quality assessment
Signal, Image and Video Processing, 2020Image quality assessment is an important element of a broad spectrum of applications ranging from automatic video streaming to display technology. In this study, we present a novel full-reference image quality assessment algorithm relying on a Siamese layout of pretrained convolutional neural networks (CNNs), feature pooling, and a neural network ...
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Full-Reference Predictive Modeling of Subjective Image Quality Assessment with ANFIS
2015Digital images often undergo through various processing and distortions which subsequently impacts the perceived image quality. Predicting image quality can be a crucial step to tune certain parameters for designing more effective acquisition, transmission, and storage multimedia systems.
El-Sayed M. El-Alfy, Mohammed Rehan Riaz
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Design and Research of Full Reference Image Quality Assessment Algorithm
2023 IEEE 6th International Conference on Information Systems and Computer Aided Education (ICISCAE), 2023Zhang Mingzhi +3 more
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P^2SNR: Perceptual Full-Reference Image Quality Assessment for JPEG2000
2012 Data Compression Conference, 2012Estimation of image quality is decisive in the image compression field. This is important in order minimize, induced error via rate allocation. Traditional full-reference algorithms of image quality try to model how Human Visual System detects visua differences and extracts both information and structure of the image.
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Hybrid Feature Similarity Approach to Full-Reference Image Quality Assessment
2012In the paper the Hybrid Feature Similarity metric is proposed based on the combination of two recently proposed objective image quality assessment methods - Riesz transform based Feature Similarity metric and Feature Similarity index. Both of them have good performance in comparison to most "state-of-the-art" quality metrics but highly linear ...
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