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A compressed domain scheme for classifying block edge patterns.

Hyun Sung Chang1, Kyeongok Kang

  • 1Electronics and Telecommunications Research Institute, Daejeon 305-350, Korea. hschang@ieee.org

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|February 11, 2005
PubMed
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This study introduces a fast method to classify edge orientation in Discrete Cosine Transform (DCT) compressed images. The technique operates directly on DCT coefficients, significantly reducing computational load for image analysis applications.

Area of Science:

  • Digital Image Processing
  • Computer Vision
  • Signal Processing

Background:

  • Edge detection and classification are crucial for image analysis tasks like compression and content-based retrieval.
  • Existing methods often require processing in the pixel domain, which can be computationally intensive, especially for compressed images.

Purpose of the Study:

  • To propose a fast and systematic scheme for classifying edge orientation within Discrete Cosine Transform (DCT) compressed image blocks.
  • To develop a method that operates directly in the coefficient domain to enhance efficiency.

Main Methods:

  • A novel scheme is derived from a pixel-domain algorithm but adapted for the DCT coefficient domain.
  • The method classifies edge orientation for each block without full image decompression.

Related Experiment Videos

  • Computational savings are achieved by avoiding extensive arithmetic operations.

    • Main Results:

    • The proposed scheme demonstrates effective classification of edge orientations in DCT-compressed images.
    • Experimental validation on various natural images confirms the method's performance.
    • Significant reduction in arithmetic operations compared to pixel-domain approaches was observed.

    Conclusions:

    • The developed scheme offers an efficient approach for edge orientation classification in DCT-compressed images.
    • This method has potential applications in perceptually improved coding and content-based image retrieval.
    • Direct processing in the DCT coefficient domain is a viable strategy for accelerating image analysis tasks.