Results 21 to 30 of about 26,933,679 (277)

Unifying analysis of full reference image quality assessment [PDF]

2008 15th IEEE International Conference on Image Processing, 2008
This paper studies two increasingly popular paradigms for image quality assessment - Structural SIMilarity (SSIM) metrics and Information Fidelity metrics. The relation of the SSIM metric to Mean Squared Error and Human Visual System (HVS) based models of quality assessment are studied.
Kalpana Seshadrinathan, Alan C. Bovik
openaire   +1 more source

Full-Reference Image Quality Assessment Based on Multi-Channel Visual Information Fusion

Applied Sciences, 2023
This study focuses on improving the objective alignment of image quality assessment (IQA) algorithms with human visual perception. Existing methodologies, predominantly those based on the Laplacian of Gaussian (LoG) filter, often neglect the impact of ...
Benchi Jiang, Shilei Bian, Chenyang Shi, Lulu Wu   +3 more
doaj   +1 more source

Full-Reference Model for Stereoscopic Image Quality Assessment Based on Monocular and Binocular Visual Information [PDF]

Jisuanji gongcheng, 2022
In the field of Stereoscopic Image Quality Assessment (SIQA), effectively simulate the Human Visual System (HVS) to evaluate the image quality remains an important problem.Considering the visual perception characteristics of human eyes, this paper ...
WANG Kuan, YANG Huan, PAN Zhenkuan, SI Jianwei
doaj   +1 more source

Full‐reference tone‐mapped images quality assessment [PDF]

IET Image Processing, 2020
Abstract Various tone mapping operators have been proposed to convert the high dynamic range images to low dynamic ranges to improve visualization on low dynamic range displays. This paper presents a full‐reference objective quality assessment index to evaluate the perceived quality of tone‐mapped images.
openaire   +2 more sources

Full Reference Image Quality Assessment by Considering Intra-Block Structure and Inter-Block Texture

IEEE Access, 2020
The purpose of the image quality assessment is to evaluate image quality consistently with human's subjective evaluation. In image quality assessment, many structural features have been used to measure the quality degradation of an image.
Junfeng Yang, Wei Zhang, Xiaolong Li, Ting Zhou, Bo Ou   +4 more
doaj   +1 more source

Benchmarking Underwater Image Enhancement and Restoration, and Beyond

IEEE Access, 2020
Image enhancement and restoration is among the most investigated topics in the field of underwater machine vision. The objective image quality assessment is a fundamental part of optimizing underwater enhancement and restoration technologies.
Guojia Hou, Xin Zhao, Zhenkuan Pan, Huan Yang, Lu Tan, Jingming Li   +5 more
doaj   +1 more source

DeSa COVID-19: Deep salient COVID-19 image-based quality assessment

Journal of King Saud University: Computer and Information Sciences, 2022
This study offers an advanced method to evaluate the coronavirus disease 2019 (COVID-19) image quality. The salient COVID-19 image map is incorporated with the deep convolutional neural network (DCNN), namely DeSa COVID-19, which exerts the n-convex ...
Risnandar
doaj   +1 more source

Reduced reference image quality assessment via Boltzmann machines [PDF]

, 2015
Monitoring and controlling the user's perceived quality, in modern video services is a challenging proposition, mainly due to the limitations of current Image Quality Assessment (IQA) algorithms.
Liotta, A., Liotta, Antonio, Ammar, Haitham Bou, Exarchakos, G.; id_orcid, Mocanu, Decebal Constantin, Bou Ammar, H, Exarchakos, Georgios, Decebal Constantin Mocanu, Mocanu, D.C.; id_orcid, Haitham Bou Ammar, Mocanu, D.C., Mocanu, DC Decebal, Antonio Liotta, Exarchakos, G Georgios, Liotta, A Antonio, Georgios Exarchakos, Bou Ammar, H., Exarchakos, G.   +17 more
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NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION

Image Analysis and Stereology, 2018
Over the years image quality assessment is one of the active area of research in image processing. Distortion in images can be caused by various sources like noise, blur, transmission channel errors, compression artifacts etc. Image distortions can occur
Kanjar De, Masilamani V
doaj   +1 more source

Shearlet-based reduced reference image quality assessment

, 2022
S.2052-2056This paper proposes a reduced reference image quality assessment method using only a low number of features. It involves a shearlet decomposition, directional pooling of the obtained coefficient and extracts the scalewise statistical location ...
Bosse, S., Wiegand, T., Siekmann, M., Samek, W., Chen, Q.   +4 more
core   +1 more source