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Abstract
This feature issue focuses on image quality and perception, including image and video quality, subjective and objective quality, and enhancement. The feature issue contains papers on several important topics, such as contrast discrimination, analysis of color imaging in cameras, image quality assessment, and more. The papers represent different important aspects in image quality and perception, contributing to the advancement of the field.
© 2022 Optica Publishing Group
To accurately estimate and/or enhance the quality of images requires an in-depth understanding of human perception. However, there are still several unsolved challenges when it comes to modeling the human visual system and how these models can be incorporated into quality assessment. This feature issue focuses on image quality and perception, including image and video quality, subjective and objective quality, and enhancement. The issue contains theoretical research, applied research, and application-specific research, showing the breadth of interesting topics.
Jarvis et al. [1] introduce a discrimination model modification that is able to predict discrimination thresholds for different types of natural image stimuli. This is a very important in terms of being able to apply such models in different applications, and the case of image quality modeling is discussed.
Tedla et al. [2] also focus toward analyzing a range of camera sensors and environmental lighting. The goal was to determine how often color calibration failures occur and reasons for the failures. The findings could have impact for different applications, such as home-based health and wellness monitoring.
Zhu et al. [3] focus on perception of printing papers. In their experiments, which included gloss perception of papers at various illuminances and distances from a light source to the object’s surface, they found that illuminance has a strong effect on gloss perception. These findings can be of importance in appearance-based applications.
Papadogiannis et al. [4] investigate multifocal contact lenses, which are becoming popular interventions for controlling myopia. The results could be used to better understand and improve myopia control interventions.
Mehmood et al. [5] focus on the increasingly popular topic of high dynamic range. Two psychophysical experiments were conducted by the authors to investigate the performance of tone mapping operators.
Celona and Schenetti [6] investigated the important, but challenging, task of blind image quality assessment where the reference image is not available. The authors present a convolutional neural network based model that encodes the input image into multilevel features to obtain a perceptual quality score.
Khan et al. [7] introduce new datasets for assessing the image quality of color-domain images and new image quality metrics.
REFERENCES
1. J. Jarvis, S. Triantaphillidou, and G. Gupta, “Contrast discrimination in images of natural scenes,” J. Opt. Soc. Am. A 39, B50–B64 (2022). [CrossRef]
2. S. Tedla, Y. Wang, M. Patel, and M. S. Brown, “Analyzing color imaging failure on consumer-grade cameras,” J. Opt. Soc. Am. A 39, B21–B27 (2022). [CrossRef]
3. X. Zhu, S. Inoue, H. Sato, and Y. Mizokami, “Effect of light source distances and illuminances on the gloss perception of papers,” J. Opt. Soc. Am. A 39, B28–B38 (2022). [CrossRef]
4. P. Papadogiannis, D. Romashchenko, S. Vedhakrishnan, B. Persson, A. L. Pettersson, S. Marcos, and L. Lundström, “Foveal and peripheral visual quality and accommodation with multifocal contact lenses,” J. Opt. Soc. Am. A 39, B39–B49 (2022). [CrossRef]
5. I. Mehmood, X. Liu, M. U. Khan, and M. R. Luo, “Method for developing and using high quality reference images to evaluate tone mapping operators,” J. Opt. Soc. Am. A 39, B11–B20 (2022). [CrossRef]
6. L. Celona and R. Schettini, “Blind quality assessment of authentically distorted images,” J. Opt. Soc. Am. A 39, B1–B10 (2022). [CrossRef]
7. M. U. Khan, M. R. Luo, and D. Tian, “No-reference image quality metrics for color domain modified images,” J. Opt. Soc. Am. A 39,B65–B77 (2022). [CrossRef]