Seven Challenges in Image Quality Assessment: Past, Present, and Future Research

By Damon M. Chandler. 2013

460 citations recorded by the source corpus.

Image quality assessment (IQA) has been a topic of intense research over the last several decades. With each year comes an increasing number of new IQA algorithms, extensions of existing IQA algorithms, and applications of IQA to other disciplines. In this article, I first provide an up-to-date review of research in IQA, and then I highlight several open challenges in this field. The first half of this article provides discuss key properties of visual perception, image quality databases, existing full-reference, no-reference, and reduced-reference IQA algorithms. Yet, despite the remarkable progress that has been made in IQA, many fundamental challenges remain largely unsolved. The second half of this article highlights some of these challenges. I specifically discuss challenges related to lack of complete perceptual models for: natural images, compound and suprathreshold distortions, and multiple distortions, and the interactive effects of these distortions on the images. I also discuss challenges related to IQA of images containing nontraditional, and I discuss challenges related to the computational efficiency. The goal of this article is not only to help practitioners and researchers keep abreast of the recent advances in IQA, but to also raise awareness of the key limitations of current IQA knowledge.

Subfields: Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/49e569ac342e2f8f510eb4b2348803aa32f392fe

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Citations in the corpus

PieAPP: Perceptual Image-Error Assessment Through Pairwise Preference (2018, methodology): “th the four largest existing IQA datasets. 3 Our dataset is substantially bigger than all these existing IQA datasets combined in 2 See supplementary le for a detailed analysis. 3 See Chandler et al. [11] for a complete list of existing IQA datasets. Dataset Ref. images Distortions Distorted images ”
Blind Image Quality Assessment Using Joint Statistics of Gradient Magnitude and Laplacian Features (2014, background): “Most of these models have been proposed to deal with a single given distortion type and they are usually referred to as distortion specific IQA models [6].”
From QoS to QoE: A Tutorial on Video Quality Assessment (2015, background): “However, in [142], the author points out seven challenges facing the current objective quality models.”
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI (2018, methodology): “The assessment of MRI reconstruction quality is of paramount relevance to develop and compare machine learning and medical imaging systems [51, 53, 3, 58].”
Image Quality Assessment by Comparing CNN Features between Images (2016, background): “Several researchers have pointed out challenges that are still unsolved [13, 55], such as dealing with geometric changes, multiple distortions, run-time performance and memory requirements.”