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A new transform coefficient scanning strategy for the directional spatial prediction-bared image compression has been presented in this paper

A novel coefficient scanning scheme for directional spatial prediction-based image compression

ICME, pp.557-560, (2003)

Cited: 44|Views42
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Abstract

Spatial prediction is a promising technique for image coding. For example, the coming AVC/H.264 standard adopts directional spatial prediction in the intra frame coding. Similar to the traditional DCT-based image coding schemes, it still scan the transform coefficients in a zigzag order, which is inefficient for coding the residual signal...More

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Introduction
  • Image compression plays a very important role in many applications. The fundamental problem in image compression is how to efficiently exploit the spatial redundancies in an image.
  • Wavelet transform is capable of providing more flexible functionalities in scalable coding, DCT is still widely used in many practical coding systems because of its computational efficiency.
  • The coding scheme combining DCT and spatial prediction is becoming a promising technique recently.
  • The directional spatial prediction scheme has been adopted in the coming AVClH.264 standard for Intra frame codmg [4][5].
  • Intra coding is among the state-of-the-art image compression algorithms
  • The AVClH.264 Intra coding is among the state-of-the-art image compression algorithms
Highlights
  • Image compression plays a very important role in many applications
  • The directional spatial prediction scheme has been adopted in the coming AVClH.264 standard for Intra frame codmg [4][5]
  • Intra coding is among the state-of-the-art image compression algorithms
  • This paper focuses on developing the more efficient scanning scheme to substitute the zigzag scanning for spatial predictionbased image coding
  • A new transform coefficient scanning strategy for the directional spatial prediction-bared image compression has been presented in this paper
  • Experimental results demonstrate that the proposed scheme can always outperform AVC/H.264
Methods
  • DESIGN OF SCANNING TABLES

    Based on the statistic results, a new strategy for scanning the transform coefficients is presented .
  • The scan s t a s from the coefficient with the max variance, approximately ordering the coefficients in decreasing order of variance.
  • A flatter Laplacian distribution indicates the larger variance and higher probability to be non-zero after quantization.
  • This conclusion is drawn according to the property of Laplacian distributions as follows.
Conclusion
  • A N D IWTURE WORKS

    A new transform coefficient scanning strategy for the directional spatial prediction-bared image compression has been presented in this paper.
  • A N D IWTURE WORKS.
  • A new transform coefficient scanning strategy for the directional spatial prediction-bared image compression has been presented in this paper.
  • It has been shown that the zigzag scanning in AVClH.264 is far from optimal.
  • Since the entropy coding used in the proposed algorithm is developed for the zigzag scanning in AVC/H.261, the future work ofthis paper is to adjust the entropy coder according to the proposed adaptive scanning strategy.
  • . the coding efficiency can be expected 10 be further improved
Tables
  • Table1: Variances of the distributions of coetlicients
  • Table2: Experimental results with CAVLC entropy coder sequence frames QP psnrY
Download tables as Excel
Funding
  • The work in pan has been supported by National Hi-Tech Research Program (863) of China (2002AAI 19010)
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