Computational Image Quality Metrics for Watermarking Applications

N V Rao; S.N.N Pandit

N V Rao CVR College of Engineering, Department of CSE, Ibrahimpatan, R.R.District, A.P., India
S.N.N Pandit Honorary Director, Center for Quantitative Methods, Osmania University, Hyderabad A.P., India

Abstract

Measurement of image Quality has been a challenging problem in many image-processing fields. Many procedures have been proposed to define metrics for image quality comparison in the context of image compression and watermarking. Subjective and Objective measures are considered to be the prime groups in the classification of quality measures as reported in the literature. Subjective evaluation is not an easy task as it involves environmental conditions. Mean square error (MSE), peak signal to noise ratio (PSNR), correlation coefficients, structural similarity index (SSIM), universal quality index (UQI) are some of the
objective measures proposed for evaluation of Image quality. In this paper some widely used measures have been reviewed in general and considered especially through case studies in image compression and digital watermarking.