Journal ArticleDOI
Blind image quality assessment in multiple bandpass and redundancy domains
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TLDR
A novel method that employs both bandpass and redundancy domains to acquire the complementary features in multiple color spaces is proposed and is very competitive against other BIQA methods and has good generalization ability.About:
This article is published in Digital Signal Processing.The article was published on 2018-09-01. It has received 11 citations till now. The article focuses on the topics: Image quality & Feature extraction.read more
Citations
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Journal ArticleDOI
Current Trends and Advances in Image Quality Assessment
TL;DR: Some of the IQA metrics can also be used efficiently for alternative purposes, such as texture similarity estimation, quality evaluation of 3D images and 3D printed surfaces as well as video quality assessment.
Journal ArticleDOI
Data-Driven Transform-Based Compressed Image Quality Assessment
TL;DR: The proposed IQA model utilizes a data-driven transform, multi-stage Karhunen-Loeve Transform (MS-KLT), as a feature extractor to decompose both reference and compressed images into feature domain, where the importance of feature distortions in different spectral components to human visual system (HVS) is easy to distinguish.
Journal ArticleDOI
Blindly Assess Quality of In-the-Wild Videos via Quality-Aware Pre-Training and Motion Perception
TL;DR: Li et al. as discussed by the authors proposed to transfer knowledge from image quality assessment (IQA) databases with authentic distortions and large-scale action recognition with rich motion patterns to train the entire model on the target VQA databases.
Posted Content
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception.
TL;DR: In this article, the authors proposed to transfer knowledge from image quality assessment (IQA) databases with authentic distortions and large-scale action recognition with rich motion patterns to learn the feature extractor.
Journal ArticleDOI
Perceived quality measurement of stereoscopic 3D images based on sparse representation and binocular combination
TL;DR: Experimental results on three public S3D-IQM datasets show that the devised metric attains significantly high consistency alignment with subjective quality assessment.
References
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Journal ArticleDOI
A Computational Approach to Edge Detection
TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Journal ArticleDOI
A tutorial on support vector regression
TL;DR: This tutorial gives an overview of the basic ideas underlying Support Vector (SV) machines for function estimation, and includes a summary of currently used algorithms for training SV machines, covering both the quadratic programming part and advanced methods for dealing with large datasets.
Journal Article
LIBLINEAR: A Library for Large Linear Classification
TL;DR: LIBLINEAR is an open source library for large-scale linear classification that supports logistic regression and linear support vector machines and provides easy-to-use command-line tools and library calls for users and developers.
Journal ArticleDOI
Theory of Edge Detection
David Marr,Ellen C. Hildreth +1 more
TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
Journal ArticleDOI
Emergence of simple-cell receptive field properties by learning a sparse code for natural images
TL;DR: It is shown that a learning algorithm that attempts to find sparse linear codes for natural scenes will develop a complete family of localized, oriented, bandpass receptive fields, similar to those found in the primary visual cortex.
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