A Statistical Evaluation of Sparsity-based Distance Measure (SDM) as an Image Quality Assessment Algorithm

K V S N L, Manasa Priya and K, Manasa and Channappayya, Sumohana (2014) A Statistical Evaluation of Sparsity-based Distance Measure (SDM) as an Image Quality Assessment Algorithm. In: International Conference on Acoustic, Speech and Signal Processing (ICASSP), May 2014, Florence, Italy.

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Abstract

Sparsity-based Distance Measure (SDM), a sparse reconstruction-based image similarity measure was recently proposed and shown to have promising applications in image classification, clustering and retrieval. In this paper, we present a statistical evaluation of SDM’s performance as an image qual- ity assessment (IQA) algorithm. This evaluation is carried out on the LIVE image database. We show that the SDM performs fairly in comparison with the state-of-the-art while possessing several attractive properties. Specifically, we demonstrate its robustness to rotation ( 90 o , 180 o ), scaling, and combinations of distortions – properties that are highly desirable of any IQA algorithm

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IITH Creators:
IITH CreatorsORCiD
Channappayya, SumohanaUNSPECIFIED
Item Type: Conference or Workshop Item (Paper)
Subjects: Others > Engineering technology
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 24 Feb 2016 05:51
Last Modified: 01 Sep 2017 06:22
URI: http://raiithold.iith.ac.in/id/eprint/2209
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