Statistical and structural information backed full-reference quality measure of compressed sonar images
In sonar applications, important information such as distributions of minerals, underwater
creatures has a high probability of being contained in sonar images. In many underwater …
creatures has a high probability of being contained in sonar images. In many underwater …
No-reference image quality assessment using image statistics and robust feature descriptors
M Oszust - IEEE Signal Processing Letters, 2017 - ieeexplore.ieee.org
The aim of no-reference image quality assessment (NR-IQA) techniques is to measure the
perceptual quality of an image without access to the reference image. In this letter, a novel …
perceptual quality of an image without access to the reference image. In this letter, a novel …
Reduced-reference stereoscopic image quality assessment using gradient sparse representation and structural degradation
J Ma, G Xu, X Han - IEEE Access, 2021 - ieeexplore.ieee.org
Reduced-reference stereoscopic image quality assessment (RRSIQA) models evaluate
stereoscopic image quality degradation with partial information about the “ideal-quality” …
stereoscopic image quality degradation with partial information about the “ideal-quality” …
Quality Assessment of Sonar Images
K Gu, H Liu, C Zhou - Quality Assessment of Visual Content, 2022 - Springer
In many underwater applications such as biometric tracking and underwater rescue, it is
necessary to analyze sonar images that contain a large amount of important information like …
necessary to analyze sonar images that contain a large amount of important information like …
Visual information evaluation with entropy of primitive
In this paper, we overview the recent work on entropy of primitive (EoP), including its
concept, design, extension, and mathematical analysis in evaluating the visual information …
concept, design, extension, and mathematical analysis in evaluating the visual information …
[PDF][PDF] Difference of Visual Information Metric Based on Entropy of Primitive
Y Zhang, F Sun, L Tian, J Li, S Lan - Computers, Materials & …, 2020 - cdn.techscience.cn
Image sparse representation is a method of efficient compression and coding of image
signal in the process of digital image processing. Image after sparse representation, to …
signal in the process of digital image processing. Image after sparse representation, to …
Internal generative mechanism inspired reduced reference image quality assessment with entropy of primitive
In this paper, we propose a novel reduced-reference (RR) image quality assessment (IQA)
algorithm based on the internal generative mechanism, which suggests that the human …
algorithm based on the internal generative mechanism, which suggests that the human …