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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 quality assessment of downsized images
2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), 2017Resizing image processing tools are in vogue nowadays due to various practical reasons. The images are resized into different resolutions and scales. The quality of the image may get affected by resizing the original image. In this paper, quality of downsized images is evaluated.
Mohammad Usman Khan +2 more
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Full Reference Image Quality Assessment: Limitation
2014 22nd International Conference on Pattern Recognition, 2014In this work, we propose to study the universality of the Full-Reference Image Quality metrics (FR-IQMs) and show the no-relevance to use this kind of metrics without considering the degradation type contained in the image. Different experimental tests have been done in order to analyze its performance.
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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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Sampled efficient full-reference image quality assessment models
2016 50th Asilomar Conference on Signals, Systems and Computers, 2016Existing Ml-reference image quality assessment models first compute a full image quality-predictive feature map followed by a spatial pooling scheme, thereby producing a single quality score. Here we study spatial sampling strategies that can be used to more efficiently compute reliable picture quality scores.
Christos George Bampis +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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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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Image quality assessment by preprocessing and full reference model combination
SPIE Proceedings, 2009This paper focuses on full-reference image quality assessment and presents different computational strategies aimed to improve the robustness and accuracy of some well known and widely used state of the art models, namely the Structural Similarity approach (SSIM) by Wang and Bovik and the S-CIELAB spatial-color model by Zhang and Wandell.
SCHETTINI, RAIMONDO +3 more
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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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