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V7-DiVA: a feature-based Deep MIL colorectal whole-slide histopathology research platform with blinded external image-input validation. [PDF]

J Transl Med
Sun M, Kong W, Qiu S, Ge X.
europepmc   +1 more source

Efficient Full-Reference Assessment of Image and Video Quality

2007 IEEE International Conference on Image Processing, 2007
Automatic 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, Mikel Barrado, Thomas Wiegand 0001   +2 more
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A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms

IEEE Transactions on Image Processing, 2006
Measurement of visual quality is of fundamental importance for numerous image and video processing applications, where the goal of quality assessment (QA) algorithms is to automatically assess the quality of images or videos in agreement with human quality judgments.
Alan Bovik, A C Bovik
exaly   +4 more sources

Full-reference image quality assessment based on image segmentation with edge feature

Signal Processing, 2018
Abstract Full-reference image quality assessment is widely used in many applications, such as image compression, image transmission and image mosaic. The visual masking effect has a significant impact on the perception of the human visual system, which is ignored in previous image quality assessments.
Zaifeng Shi, Ke Pang
exaly   +3 more sources

Neural network-based full-reference image quality assessment

2016 Picture Coding Symposium (PCS), 2016
This paper presents a full-reference (FR) image quality assessment (IQA) method based on a deep convolutional neural network (CNN). The CNN extracts features from distorted and reference image patches and estimates the perceived quality of the distorted ones by combining and regressing the feature vectors using two fully connected layers.
Sebastian Bosse, Dominique Maniry, Klaus-Robert Müller, Thomas Wiegand 0001, Wojciech Samek   +4 more
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Fine-Tuning of the Measure for Full Reference Image Quality Assessment

2021
In this paper, we proposed a new measure to solve the full reference image quality assessment problem. The core of the approach is known as peak signal-to-noise ratio improved with the estimation of local block-wise distortions, contrast, and saturation differences between test and referenced images.
Oleksii Gorokhovatskyi, Olena Peredrii
openaire   +1 more source

Full reference quality assessment of downsized images

2017 International Conference on Multimedia, Signal Processing and Communication Technologies (IMPACT), 2017
Resizing 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, Md Amir Baig, Athar Ali Moinuddin   +2 more
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Sampled efficient full-reference image quality assessment models

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
Existing 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, Todd Richard Goodall, Alan C. Bovik   +2 more
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Full Reference Image Quality Assessment: Limitation

2014 22nd International Conference on Pattern Recognition, 2014
In 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 Objective Quality Assessment of Tone-Mapped Images

IEEE Transactions on Multimedia, 2018
In 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
openaire   +1 more source