MMJun 20, 2016

A Note on Efficiency of Downsampling and Color Transformation in Image Quality Assessment

arXiv:1606.06152v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses an incremental efficiency issue for researchers and practitioners in image quality assessment.

The paper identifies that existing full reference image quality assessment models use suboptimal ordering of downsampling and color transformation, leading to inefficiency, and highlights a lack of fair comparisons in the literature.

Several existing and successful full reference image quality assessment (IQA) models use linear color transformation and downsampling before measuring similarity or quality of images. This paper indicates to the right order of these two procedures and that the existing models have not chosen the more efficient approach. In addition, efficiency of these metrics is not compared in a fair basis in the literature.

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