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Effective Blocking Artifact Reduction Using Classification of Block Boundary Area

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3768))

Abstract

This paper proposes a new blocking artifact reduction algorithm using an adaptive filter based on classifying the block boundary area. Generally, block-based coding, such as JPEG and MPEG, introduces blocking and ringing artifacts to an image, where the blocking artifact consists of grid noise, staircase noise, and corner outliers. In the proposed method, a 1D low-pass filter reduces staircase noise and corner outliers. Next, the block boundaries are divided into two classes based on the gradient of the pixel intensity in the boundary region. For each class, an adaptive filter is applied so that the grid noise is reduced in the block boundary regions. Thereafter, for those blocks with an edge component, the ringing artifact is removed by applying an adaptive filter around the edge. Finally, high frequency components are added to those block boundaries where the natural characteristics have been lost due to the adaptive filter. The computer simulation results confirmed a better performance by the proposed method in both the subjective and objective image qualities.

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© 2005 Springer-Verlag Berlin Heidelberg

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Suk, JY., Lee, GW., Lee, KI. (2005). Effective Blocking Artifact Reduction Using Classification of Block Boundary Area. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_53

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  • DOI: https://doi.org/10.1007/11582267_53

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30040-3

  • Online ISBN: 978-3-540-32131-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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