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Dergiler / Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering / 2020 / Cilt: 62 - Sayı: 1

AN ARTIFACT REDUCTION METHOD FOR BLOCK-BASED VIDEO CODING

Hakki Alparslan ILGIN
Ahmet AKBULUT
Sayfa
1–13
Yayın Tarihi
2020-06-30
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Experimental results show that performance of the proposed method is better than the conventional approaches.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Öz 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.
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Temel Bulgular & Veri: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.
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Sonuç & Katkı:Experimental results show that performance of the proposed method is better than the conventional approaches.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Anahtar Kelimeler Local cosine transform · significance map coding · image compression

Özet

Öz 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.

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Bu Makaleye Atıf Yap

ILGIN, H. A., AKBULUT, A. (2020). AN ARTIFACT REDUCTION METHOD FOR BLOCK-BASED VIDEO CODING. Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Cilt: 62 - Sayı: 1, 1–13. https://ajindex.com/articles/51129

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Kaynakça (9)

  1. Malvar, H. S., The LOT: a link between block transform coding and multirate fillter banks, IEEE Intern. Symp. Circuits and Systems, (1988), 835-838.
  2. Tzou, K.-H., Post-filtering of transform-coded images, Applications of Digital Image Proc., vol. 974, (1988), 121-126.
  3. 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.
  4. 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.
  5. 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.
  6. Goodfellow, Ian, Bengio, Yoshua and Courville, Aaron, Deep Learning, MIT Press, 2016.
  7. 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.
  8. Richter, T. and Larabi, C., Subjective and Objective Assesment of Visual Image Quality Metrics and Still Image Codecs, Data Compression Conference (dcc 2008),
  9. 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.,