Image Quality Assessment of No Reference JPEG Compressed Images Using Various Spatial Domain Features

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Shubham Anjankar
Ajinkya Pund
Parag Jawarkar

Abstract

In today's world of technological advancement higher data rate and data transmission with minimal memory
requirement is gaining importance. At the same time it also important to preserve quality of data to be transferred
from various types of distortions and to assess the quality at the receiving end. Hence perceptual image quality
assessment is becoming more popular. This paper introduces a new approach in domain of no reference image
quality assessment of jpeg compressed images using spatial features .Considering the fact that pixel distortion,
blurring and edge information are important aspects as far as distortions are concern. A novel approach is presented
in this paper to address the distortion categories. The results are obtained in conjunction with the subjective
image quality assessment of train and test image categories. Also results are compared with full reference image
quality assessment technique and parameters of full reference quality assessment. To achieve better accuracy
algorithm is tested on LIVE Texas' image database and our own developed database. Results are found to be well
correlating to the various parameters considered for the comparison purpose.

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How to Cite
Anjankar, S., Pund, A., & Jawarkar, P. (2021). Image Quality Assessment of No Reference JPEG Compressed Images Using Various Spatial Domain Features. International Journal of Next-Generation Computing, 12(5). https://doi.org/10.47164/ijngc.v12i5.440

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