Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Improved SPSIM Index for Image Quality Assessment

Version 1 : Received: 5 February 2021 / Approved: 8 February 2021 / Online: 8 February 2021 (11:11:47 CET)

How to cite: Frackiewicz, M.; Szolc, G.; Palus, H. An Improved SPSIM Index for Image Quality Assessment. Preprints 2021, 2021020189 (doi: 10.20944/preprints202102.0189.v1). Frackiewicz, M.; Szolc, G.; Palus, H. An Improved SPSIM Index for Image Quality Assessment. Preprints 2021, 2021020189 (doi: 10.20944/preprints202102.0189.v1).

Abstract

Objective Image Quality Assessment (IQA) measures are playing an increasingly important role in the evaluation of digital image quality. New IQA indices are expected to be strongly correlated with subjective observer evaluations expressed by MOS/DMOS scores. One such recently proposed index is the SuperPixel-based SIMilarity (SPSIM) index, which uses superpixel patches instead of the rectangular pixel grid.The authors in this paper have been proposed three modifications of SPSIM index. For this purpose, the color space used by SPSIM was changed and the way SPSIM determines similarity maps was modified using methods derived from the algorithm for computing the MDSI index. The third modification was a combination of the first two. These three new quality indices were used in the assessment process. The experimental results obtained on many color images from five image databases demonstrated the advantages of the proposed SPSIM modifications.

Subject Areas

image quality assessment; image databases; superpixels; color image; color space; image quality measures

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