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Full Reference Image Quality Assessment: A Survey
2017This article presents a brief review on full-reference (FR) image quality assessment (IQA) techniques. The discussion starts with traditional Peak Signal-to-Noise Ratio (PSNR) and then gradually moves to complex IQA models based on wavelets (or its various variants) and human visual system (HVS).
Baisakhi Sur Phadikar +2 more
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Investigation of Full-Reference Image Quality Assessment
2014The errors in imaging system create distorted image which affect the human perception of the image. This degradation in quality of image can be evaluated by image quality assessment (IQA) methods. To evaluate human subjectivity, the techniques need to follow the method of human visual system (HVS).
Dibyasundar Das, Ajit Kumar Nayak
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Full-reference image quality assessment via region-based analysis
2011 4th International Congress on Image and Signal Processing, 2011Image quality assessment (IQA) plays an important role in many image processing systems. Based on the fact that different image components have different visual impact, we propose a new region-based method using a three-region image model and Back Propagation (BP) neural network. Experimental results show that our algorithm is obviously better than the
Ke Gu +3 more
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Full Reference Quality Assessment of DIBR-Based Synthesized Images
2018 International Conference on 3D Immersion (IC3D), 2018Nowadays, free viewpoint video applications provide more immersive, interactive and appealing experiences to the end user. Usually, a Multiview plus Depth (MVD) 3D representation model is used, where only a few views are transmitted and the rest are synthesized at the receiver, often with a Depth Image Based Rendering (DIBR) technique.
Miguel Oliveira +2 more
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Efficient Full-Reference Assessment of Image and Video Quality
2007 IEEE International Conference on Image Processing, 2007Automatic quality assessment of digital pictures is a crucial issue in several image and video processing applications including broadcasting, archiving, or restoration. The visibility of impairments related to digital image processing systems is subject to the spatio-temporal properties of the given image or video content.
Patrick Ndjiki-Nya +2 more
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Full-Reference Objective Quality Assessment of Tone-Mapped Images
IEEE Transactions on Multimedia, 2018In this paper we present a novel method for full-reference image quality assessment (IQA) of tone-mapped images displayed on standard low dynamic range (LDR) displays. Due to the dynamic range compression caused by the tone-mapping process a mixture of several artifacts and distortions may be produced in the tone-mapped images.
Hadi Hadizadeh, Ivan V. Bajic
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Full-Reference Contrast-Distortion Image Quality Assessment Algorithm
European Modern Studies Journal, 2022Image enhancement is a popular technique used for process transferring distortions; contrast-distorted images CDI are treated using different images quality assessment IQA algorithms as full-reference FR-IQA. In this paper, a new FR-IQA is proposed to determine the noise artifacts caused by compression, blurring and other types of distortion as well as
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Color Image Quality Assessment Based on Full Reference and Blind Image Quality Measures
2020The degradation of the image at the acquisition and transmission severely affects the various stages of the image processing and leads to the unexpected results. So, it is necessary to be aware of the source and reason of the various noises that are incorporated with the original image. The image quality measures compute the quality of the corrupted or
P. Ganesan +5 more
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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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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, Tingting Jiang, Ming Jiang
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