Research Article | Open Access | Download PDF
Volume 4 | Issue 9 | Year 2013 | Article Id. IJCTT-V4I9P117 | DOI : https://doi.org/10.14445/22312803/IJCTT-V4I9P117
New Metric for Quality Analysis of Deblocked Images
K.Venkatesh Nayak, G.V.R.Sagar
Citation :
K.Venkatesh Nayak, G.V.R.Sagar, "New Metric for Quality Analysis of Deblocked Images," International Journal of Computer Trends and Technology (IJCTT), vol. 4, no. 9, pp. 3048-3053, 2013. Crossref, https://doi.org/10.14445/22312803/IJCTT-V4I9P117
Abstract
The advanced quality assessment of Deblocked images is done in this new metric way. Also we study the efficiency of de-blocking algorithms for improving visual signals degraded by blocking artifacts from JPEG compression. Rather than using the existing PSNR metric, we instead propose a new block-sensitive index metric, named as PSNR-B, this metric produces objective judgments that accord with observations. The PSNR-B metric modi?es PSNR by including a blocking effect factor (BEF). Also we study about Structural Similarity Metric (SSIM). The Simulation results shows the new metric PSNR-B results in better performance for quality assessment of Deblocked images than PSNR metric.
Keywords
BEF (Blocking Effect Factor), de- blocked images, distortion, quality image assessment, quantization, and POCS deblocking filter.
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