AN ARTIFACT REDUCTION METHOD FOR BLOCK-BASED VIDEO CODING

Year 2020, , 1 - 13, 30.06.2020

Hakki Alparslan Ilgın , Ahmet Akbulut

https://doi.org/10.33769/aupse.657684

Cited By: 1

Abstract

Most of the image/video coding standards are based on discrete cosine transform which is a block-based coding scheme with a disadvantage of blocking effects at low bit rates. In this paper, we propose a hybrid method which consists of downsampling/upsampling, significance map coding and local cosine transform to reduce the disadvantage of lossy compression and is also compatible with current standards. Experimental results show that performance of the proposed method is better than the conventional approaches.

Keywords

Local cosine transform, significance map coding, image compression, video coding

References

• Malvar, H. S., The LOT: a link between block transform coding and multirate fillter banks, IEEE Intern. Symp. Circuits and Systems, (1988), 835-838.
• Tzou, K.-H., Post-filtering of transform-coded images, Applications of Digital Image Proc., vol. 974, (1988), 121-126.
• Awil, C. and Nguyeri-Trsng, T., Linear filtering for reducing blocking effects in orthogonal transform image coding, Journal of Electronic Imaging 1(2) , (April 1992), 183-191.
• Wu, Po-Cheng, Chen, Liang-Gee and Lai, Yeong-Kang, A block shifting method for reduction of blocking effects in subband/wavelet image coding, IEEE Transactions on Consumer Electronics, vol. 44, no. 1, (Feb. 1998), 170-177. doi: 10.1109/30.663744
• Joint Video Team of ITU-T and ISO/IEC JTC 1, Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC), Joint Video Team (JVT) of ISO/IEC MPEG and ITU-T VCEG, JVT-G050r1, May 2003.
• Sullivan, G. J., Ohm, J. R. and Han W. J., Overview of the high efficiency video coding (HEVC) standard, IEEE Trans. Circuits Syst. Video Technol., vol. 22 no. 12 (Dec. 2012) pp. 1649-1668.
• Goodfellow, Ian, Bengio, Yoshua and Courville, Aaron, Deep Learning, MIT Press, 2016.
• Aharoni, G., Averbuch, A., Coifman, R. and Israeli, M., Local Cosine Transform - A Method for the Reduction of the Blocking Effect in JPEG, Journal of Mathematical Imaging and Vision, (1993), pp. 7-38.
• Horé, A. and Ziou, D., Image Quality Metrics: PSNR vs. SSIM, 2010 20th International Conference on Pattern Recognition, Istanbul, (2010), 2366-2369. doi: 10.1109/ICPR.2010.579
• Krasula, L., Klima, M., Rogard, E. and Jeanblanc, E., MATLAB based Applications for Image Processing and Image Quality Assessment – Part I: Software Description, Radioengineering, Vol. 20, No. 1, (Dec. 2011) 1009-1015.
• Richter, T. and Larabi, C., Subjective and Objective Assesment of Visual Image Quality Metrics and Still Image Codecs, Data Compression Conference (dcc 2008), Snowbird, UT, (2008), 541-541. doi: 10.1109/DCC.2008.44
• Wang, Zhou, Bovik, A. C., Sheikh, H. R. and Simoncelli, E. P., Image quality assessment: from error visibility to structural similarity, IEEE Transactions on Image Processing, vol. 13, no. 4, (April 2004), pp. 600-612. doi: 10.1109/TIP.2003. 819861
• Shapiro, J. M., Embedded image coding using zerotrees of wavelet coefficients, IEEE Transactions on Signal Processing, vol. 41, no. 12, (Dec. 1993), 3445-3462. doi: 10.1109/78.258085
• Said, A. and Pearlman, W. A., A new, fast, and efficient image codec based on set partitioning in hierarchical trees, IEEE Transactions on Circuits and Systems for Video Technology, vol. 6, no. 3, (June 1996), 243-250. doi: 10.1109/76.49
• Bini, S. P. and Abirami, S., Secure image deduplication using SPIHT compression, 2017 Int. Conf. on Commu. and Signal Proc. (ICCSP), Chennai, 2017, 276-280. doi: 10.1109/ICCSP.2017.828636
• Ilgin, H. A., Akbulut, A. and Kalaycıoğlu, A., Image and Video Compression Artifact Reduction at Low Bit Rates Using Local Cosine Transform in Conjuction with Significance Map Coding, 11th International Conference on Electronics, Computers and Artificial Intelligence, ECAI 2019, June 2019.
• Ilgin ,H. A. and Chaparro, L. F., Low Bit Rate Video Coding Using DCT-Based Fast Decimation/Interpolation and Embedded Zerotree Coding, IEEE Transactions on Circuits and Systems for Video Technology, vol. 17, no. 7, July 2007, 833-844. doi: 10.1109/TCSVT.2007.898655