Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
권호 표지
DOI QR코드

DOI QR Code

Image Deblocking Scheme for JPEG Compressed Images Using an Adaptive-Weighted Bilateral Filter

  • Wang, Liping (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Wang, Chengyou (School of Mechanical, Electrical and Information Engineering, Shandong University) ;
  • Huang, Wei (School of Electronic Information, Wuhan University) ;
  • Zhou, Xiao (School of Mechanical, Electrical and Information Engineering, Shandong University)
  • Received : 2015.10.28
  • Accepted : 2016.06.17
  • Published : 2016.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

Due to the block-based discrete cosine transform (BDCT), JPEG compressed images usually exhibit blocking artifacts. When the bit rates are very low, blocking artifacts will seriously affect the image's visual quality. A bilateral filter has the features for edge-preserving when it smooths images, so we propose an adaptive-weighted bilateral filter based on the features. In this paper, an image-deblocking scheme using this kind of adaptive-weighted bilateral filter is proposed to remove and reduce blocking artifacts. Two parameters of the proposed adaptive-weighted bilateral filter are adaptive-weighted so that it can avoid over-blurring unsmooth regions while eliminating blocking artifacts in smooth regions. This is achieved in two aspects: by using local entropy to control the level of filtering of each single pixel point within the image, and by using an improved blind image quality assessment (BIQA) to control the strength of filtering different images whose blocking artifacts are different. It is proved by our experimental results that our proposed image-deblocking scheme provides good performance on eliminating blocking artifacts and can avoid the over-blurring of unsmooth regions.

Keywords

References

  1. G. K. Wallace, "The JPEG still picture compression standard," IEEE Transactions on Consumer Electronics, vol. 38, no. 1, pp. 18-34, 1992.
  2. G. J. Sullivan, J. R. Ohm, W. J. Han, and T. Wiegand, "Overview of the high efficiency video coding (HEVC) standard," IEEE Transactions on Circuits and Systems for Video Technology, vol. 22, no. 12, pp. 1649-1668, 2012. https://doi.org/10.1109/TCSVT.2012.2221191
  3. R. K. Lama, M. R. Choi, J. Y. Pyun, and G. R. Kwon, "Post processing algorithm for reduction of blocking artifact in HDTV," in Proceedings of the IEEE International Conference on Consumer Electronics, Las Vegas, NV, USA, 2014, pp. 532-535.
  4. V. Kapinaiah, J. Mukhopadhyay, and P. K. Biswas, "Image deblocking by transcoding DCT blocks to wavelet subbands," in Proceedings of the 8th International Symposium on Image and Signal Processing and Analysis, Trieste, Italy, 2013, pp. 251-256.
  5. J. J. Zou and H. Yan, "A deblocking method for BDCT compressed images based on adaptive projections," IEEE Transactions on Circuits and Systems for Video Technology, vol. 15, no. 3, pp. 430-435, 2005. https://doi.org/10.1109/TCSVT.2004.842610
  6. A. Foi, V. Katkovnik, and K. Egiazarian, "Pointwise shape-adaptive DCT for high-quality denoising and deblocking of grayscale and color images," IEEE Transactions on Image Processing, vol. 16, no. 5, pp. 1395-1411, 2007. https://doi.org/10.1109/TIP.2007.891788
  7. G. T. Zhai, W. J. Zhang, X. K. Yang, W. S. Lin, and Y. Xu, "Efficient deblocking with coefficient regularization, shape adaptive filtering and quantization constraint," IEEE Transactions on Multimedia, vol. 10, no. 5, pp. 735-745, 2008. https://doi.org/10.1109/TMM.2008.922849
  8. J. Kim and C. B. Sim, "Compression artifacts removal by signal adaptive weighted sum technique," IEEE Transactions on Consumer Electronics, vol. 57, no. 4, pp. 1944-1952, 2011. https://doi.org/10.1109/TCE.2011.6131175
  9. J. Wang, Z. S. Wu, G. Jeon, and J. Jeong, "An efficient spatial deblocking of images with DCT compression," Digital Signal Processing, vol. 42, pp. 80-88, 2015. https://doi.org/10.1016/j.dsp.2015.03.009
  10. N. Anantrasirichai, L. Nicholson, J. E. Morgan, I. Erchova, K. Mortlock, R. V. North, J. Albon, and A. Achim, "Adaptive-weighted bilateral filtering and other pre-processing techniques for optical coherence tomography," Computerized Medical Imaging and Graphics, vol. 38, no. 6, pp. 526-539, 2014. https://doi.org/10.1016/j.compmedimag.2014.06.012
  11. W. Hu, O. C. Au, L. Sun, W. X. Sun, L. F. Xu, and Y. J. Li, "Adaptive depth map filter for blocking artifacts removal and edge preserving," in Proceedings of the IEEE International Symposium on Circuits and Systems, Seoul, Korea, 2012, pp. 369-372.
  12. S. Srisuk, "Bilateral filtering as a tool for image smoothing with edge preserving properties," in Proceedings of the International Electrical Engineering Congress, Chonburi, Thailand, 2014, pp. 1-4.
  13. Z. Wang, H. Sheikh, and A. C. Bovik, "No-reference perceptual quality assessment of JPEG compressed images," in Proceedings of the IEEE International Conference on Image Processing, Rochester, NY, USA, 2002, pp. 477-480.