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Image Quality Assessment: A Review to Full Reference Indexes

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Recent Trends in Communication, Computing, and Electronics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 524))

Abstract

An image quality index plays an increasingly vital role in image processing applications for dynamic monitoring and quality adjustment, optimization and parameter setting of the imaging systems, and finally benchmarking the image processing techniques. All the above goals highly require a sustainable quantitative measure of image quality. This manuscript analytically reviews the popular reference-based metrics of image quality which have been employed for the evaluation of image enhancement techniques. The efficiency and sustainability of eleven indexes are evaluated and compared in the assessment of image enhancement after the cancellation of speckle, salt and pepper, and Gaussian noises from MRI images separately by a linear filter and three varieties of morphological filters. The results indicate more clarity and sustainability of similarity-based indexes. The direction of designing a universal similarity-based index based on information content of the image is suggested as a future research direction.

The correspondent author is Neeraj Gupta (neeraj.gupta@oakland.edu). M. Khosravy also jointly collaborates with Electrical Engineering Department, University of the Ryukyus, Okinawa, Japan, and School of Computer and Engineering Science, Oakland University, MI, USA.

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Author information

Authors and Affiliations

  1. Electrical Engineering Department, Federal University of Juiz de Fora, Juiz de Fora, Brazil

    Mahdi Khosravy

  2. School of Computer and Engineering Science, Oakland University, Rochester, MI, USA

    Nilesh Patel, Neeraj Gupta & Ishwar K. Sethi

Authors
  1. Mahdi Khosravy
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  2. Nilesh Patel
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  3. Neeraj Gupta
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  4. Ishwar K. Sethi
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Corresponding author

Correspondence to Neeraj Gupta .

Editor information

Editors and Affiliations

  1. University of Allahabad, Allahabad, India

    Ashish Khare

  2. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Uma Shankar Tiwary

  3. Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

  4. University of Allahabad, Allahabad, Uttar Pradesh, India

    Nar Singh

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Khosravy, M., Patel, N., Gupta, N., Sethi, I.K. (2019). Image Quality Assessment: A Review to Full Reference Indexes. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_27

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

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