Research Article | Open Access | Download PDF
Volume 2 | Issue 2 | Year 2011 | Article Id. IJCTT-V2I2P108 | DOI : https://doi.org/10.14445/22312803/IJCTT-V2I2P108
Image Quality Analysis of Deblocked Images
Ch.Manasa,K.Ashok babu
Citation :
Ch.Manasa,K.Ashok babu, "Image Quality Analysis of Deblocked Images," International Journal of Computer Trends and Technology (IJCTT), vol. 2, no. 2, pp. 518-523, 2011. Crossref, https://doi.org/10.14445/22312803/IJCTT-V2I2P108
Abstract
JPEG compression is the most prevalent technique or method for image codecs.But it suffers from blocking artifacts.In this paper a comparison of the perceptual quality of deblocked images based on various quality assessment metric is done. A proposed PSNR including blocking effect factor was used instead of PSNR. Another quality assessment metric SSIM was used which produces results largely in accordance with PSNR –B. We show the simulation results, which prove PSNR-B produces objective judgments .The efficiency of deblocking algorithms were studied.
Keywords
Deblocked images, blocking artifacts, quality assessment, quality metric.
References
[1] S.S Channappayya, A.C.Bovik, and R.W.Heath, Jr, “Design of linear equalizers optimized for the structural similarity index,” IEEE Trans. Image Process., vol.17, no.6, pp.857-872, Jun.2008.
[2] Z.Wang, A.C.Bovik, H.R.Sheikh, and E.P.Simoncelli, “Image quality assessment: From error visibility to structural similarity,” IEEE Trans. Image Process., vol.13, no.4, pp.600-612, Apr.2004.
[3] A.Zakhor , “Iterative procedure for reduction of blocking effects in transform image coding,” IEEE Trans. Circuits Syst. Video Technol.,vol.2,no.1 , pp.91-95,Mar.1992.
[4] Y.Yang, N.P.Galatsanos, and A.K.Katsaggelos, “Projection-based spatially adaptive reconstruction of block- transform compressed images,” IEEE Trans. Image Process., vol.4, no.7, pp.896-908, Jul.1995.
[5] Y.Yang, N.P.Galatsanos, and A.K.Katsaggelos, “Regularized reconstruction to reduce blocking artifacts of block discrete cosine transform compressed images,” IEEE Trans. Circuits Syst. Video Technol., vol.3, no.6, pp.421-432, Dec.1993.
[6] H.Paek, R.C.Kim, and S.U.Lee, “On the POCS-based post processing technique to reduce the blocking artifacts in transform coded images,” IEEE Trans. Circuits Syst. Video Technol., vol.8, no.3, pp.358-367,Jun.1998.
[7] S.H.Park, and D.S.Kim, “Theory of projection onto narrow quantization constraint set and its applications,” IEEE Trans. Image Process., vol.8, no.10, pp.1361-1373, Oct.1999.
[8] Z.Wang, A.C.Bovik, and E.P.Simoncelli, “Multi-scale structural similarity for image quality assessment,” in Proc. IEEE Asilomar Conf.Signal Syst. Comput.,No v.2003.
[9] A.C.Bovik, and H.R.Sheikh,”Image information and visual quality,” IEEE Trans. Image Process., vol.15, no.2, pp.430-444, Feb.2006.
[10] A.C.Bovik, and H.R.Sheikh, “A statistical evaluation of recent full reference image quality assessment algorithms,” IEEE Trans. Image Process., vol.15, no.11, pp.3441-3452, Nov.2006.
[11] Z.Wang, and A.C.Bovik, “A Universal image quality Index,” IEEE Trans. Signal Process.Lett., vol.9, no.3, pp.81-84, Mar.2002.
[12] S.Liu, and A.C.Bovik, “Efficient DCT-domain blind measurement and reduction of blocking artifacts,” IEEE Trans. Circuits Syst. Video Technol., vol.12, no.12, pp.1139-1149, Dec.2002.
[13] B.Girod, “What’s wrong with mean-squared error,” in Digital images and human vision, A.B.Watson, ED. Cambridge, MA: MIT Press, 1993, pp.207-220.
[14] Z.Wang, and A.C.Bovik,” Blind measurement of blocking artifacts in images,” in Proc.IEEE Int.Conf.Image Process., Vancouver, Canada, Oct.2000.pp.981-984.
[15] Y.Jeong, I.Kim, and H.Kang,” Practical projection based postprocessing of block coded images with fast convergence rate,” IEEE Trans. Circuits Syst. Video Technol., vol.10,no.4 , pp.617-623,Jun.2000.