Abstract
Measuring the visual quality of printed media is important since printed products have an important role in everyday life. Finding ways to automatically predict the image quality has been an active research topic in digital image processing, but adapting those methods to measure the visual quality of printed media has not been studied often or in depth and is not straightforward. Here, we analyze the efficacy of no-reference image quality assessment (IQA) algorithms originally developed for digital IQA with regards to predicting the perceived quality of printed natural images. We perform a comprehensive statistical comparison of the methods. The best methods are shown to accurately predict subjective opinions of the quality of printed photographs using data from a psychometric study.
Highlights
Despite rapid developments in electronic media, most people still prefer reading text printed on paper rather than reproduced on electronic displays.[1]
The NR-image quality assessment (IQA) algorithms were applied with every cut-off wavelength-scale pair to find the optimal parameter values for each method
The same applies for the mean subtracted contrast normalized (MSCN) coefficients used in Blind/Referenceless Image Spatial Quality Evaluator (BRISQUE) and Natural Image Quality Evaluator (NIQE)
Summary
Despite rapid developments in electronic media, most people still prefer reading text printed on paper rather than reproduced on electronic displays.[1]. An increasing number of images are captured each year, and despite the fact that the digitization has created novel ways to share and distribute images, printed images still have their users. The amount of bound photobooks has grown rapidly during the recent years.[2] These, among other reasons, are why paper and other fiber-based products still play an important role in communication, and printed products, such as books, newspapers, and packages, are an important part of daily life. Rather than using technical measurements, humans do not evaluate the quality of print and images based on physical parameters, but rather based on personal preferences and what they see as pleasurable.[3]
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