• Dr.I.Santi Prabha
• Balla.Lakshmi Sameeramani

The human visual system pays attention to salient regions while perceiving an image. In this paper, we estimated an quality of an stereoscopic image using metrics. For this assessment, a method is used, a systematic approach for depth saliency estimation, called Salient Edges with respect to Depth perception (SED) which localizes the depth-salient edges in an S3D image.This concept evaluates the quality of the stereo image pair (2D) and the depth pair individually and pools these scores to arrive at the overall score. Further, this project is enhanced by improving the quality of query image by determining universal quality index (UQI) and multi-scale structural similarity (MS-SSIM) metrics. Based on the objective score the image quality assessment will be performed. We perform a comprehensive evaluation of our metric on publicly available Middlebury S3D IQA database. The proposed metric shows competitive performance of the Middlebury database with state-of-the-art performance. The proposed method is implemented in MATLAB software.

Stereoscopic images, Disparity map, Image quality assessment, FRSIQA, SED map, UQI, MS-SSIM.`

"A STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON METRICS MULTI-SCALE STRUCTURAL SIMILARITY INDEX AND UNIVERSAL QUALITY INDEX", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.384-390, June 2019, Available :http://www.jetir.org/papers/JETIR1906U87.pdf

"A STEREOSCOPIC IMAGE QUALITY ASSESSMENT BASED ON METRICS MULTI-SCALE STRUCTURAL SIMILARITY INDEX AND UNIVERSAL QUALITY INDEX", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp384-390, June 2019, Available at : http://www.jetir.org/papers/JETIR1906U87.pdf