Results 11 to 20 of about 1,054,642 (283)
No-reference Image Denoising Quality Assessment [PDF]
, 2018 A wide variety of image denoising methods are available now. However, the performance of a denoising algorithm often depends on individual input noisy images as well as its parameter setting.
Lu, Si
core +5 more sources
No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection
Sensors, 2021 We propose an anomaly detection based image quality assessment method which exploits the correlations between feature maps from a pre-trained Convolutional Neural Network (CNN).
Marco Leonardi +3 more
doaj +4 more sources
Domain Fingerprints for No-reference Image Quality Assessment [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2020 Human fingerprints are detailed and nearly unique markers of human identity. Such a unique and stable fingerprint is also left on each acquired image.
Xia, Weihao +3 more
core +4 more sources
No-reference color image quality assessment: from entropy to perceptual quality [PDF]
EURASIP Journal on Image and Video Processing, 2019 This paper presents a high-performance general-purpose no-reference (NR) image quality assessment (IQA) method based on image entropy. The image features are extracted from two domains.
Xiaoqiao Chen +4 more
doaj +3 more sources
Automatic no-reference image quality assessment. [PDF]
Springerplus, 2016 No-reference image quality assessment aims to predict the visual quality of distorted images without examining the original image as a reference. Most no-reference image quality metrics which have been already proposed are designed for one or a set of predefined specific distortion types and are unlikely to generalize for evaluating images degraded ...
Li H, Hu W, Xu ZN.
europepmc +3 more sources
No-reference image quality assessment based on global awareness. [PDF]
PLoS OneIn the field of computer vision, the application of hand-crafted as well as computer-learning-based methods in the field of image quality assessment has yielded remarkable results. However, in the field of no-reference image distortion, it is still challenging to accurately perceive and determine the quality of an image.
Hu Z +5 more
europepmc +3 more sources
No-Reference Image Quality Assessment Based on a Multitask Image Restoration Network
Applied Sciences, 2023 When image quality is evaluated, the human visual system (HVS) infers the details in the image through its internal generative mechanism. In this process, the HVS integrates both local and global information about the image, utilizes contextual ...
Fan Chen, Hong Fu, Hengyong Yu, Ying Chu
doaj +1 more source
No-Reference Image Quality Assessment Based on Image Multi-Scale Contour Prediction
Applied Sciences, 2022 Accurately assessing image quality is a challenging task, especially without a reference image. Currently, most of the no-reference image quality assessment methods still require reference images in the training stage, but reference images are usually ...
Fan Wang +4 more
doaj +1 more source
Deep No-Reference Tone Mapped Image Quality Assessment [PDF]
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 The process of rendering high dynamic range (HDR) images to be viewed on conventional displays is called tone mapping. However, tone mapping introduces distortions in the final image which may lead to visual displeasure. To quantify these distortions, we introduce a novel no-reference quality assessment technique for these tone mapped images.
Ravuri, Chandra Sekhar +4 more
openaire +2 more sources
No Reference Pansharpened Image Quality Assessment Through Deep Feature Similarity
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Pansharpening refers to the process of enhancing the spatial resolution of a multispectral image with the help of a high spatial resolution panchromatic (PAN) image.
Neeraj Badal +3 more
doaj +1 more source