Publication Type:

Journal Article

Source:

Advances in Intelligent Systems and Computing, Springer Verlag, Volume 384, ICACCI 2015; Kochi; India, p.529-540 (2016)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-84945981429&partnerID=40&md5=2fa25576a5e04e3fff93e7f2dd541a57

Abstract:

Color models are used for facilitating the specification of colors in a standard way. A suitable color model is associated with every application based on color space. This paper mainly focuses on the analysis of effectiveness of different color models on single image scale-up problems. Single image scale-up aims in the recovery of original image, where the input image is a blurred and down- scaled version of the original one. In order to identify the effect of different color models on scale-up of single image applications, the experiment is performed with the single image scale-up algorithm on standard image database. The performance of different color models (YCbCr, YCoCg, HSV, YUV, CIE XYZ, Photo YCC, CMYK, YIQ, CIE Lab, YPbPr) are measured by quality metric called Peak Signal to Noise Ratio (PSNR). The experimental results based on the calculated PSNR values prove that YCbCr and CMYK color models give effective results in single image scale-up application when compared with the other available color models. © Springer International Publishing Switzerland 2016.

Cite this Research Publication

N. John, Viswanath, A., Sowmya, V., and Soman, K. P., “Analysis of various color space models on effective single image super resolution”, Advances in Intelligent Systems and Computing, vol. 384, pp. 529-540, 2016.