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Transform coded image reconstruction exploiting interblock correlation.

S S Hemami1, T Y Meng

  • 1Sch. of Electr. Eng., Cornell Univ., Ithaca, NY.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1995
PubMed
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This study introduces an efficient method to reconstruct lost image data in block-based transform coded images transmitted over packet networks. The technique minimizes visual artifacts and blocking, offering high-quality image reconstruction for low-power applications.

Area of Science:

  • Digital Image Processing
  • Video Compression
  • Network Communications

Background:

  • Packet loss in networks corrupts block-based transform coded images, leading to visual defects.
  • Reconstruction of lost image data is crucial for maintaining visual quality in digital communication.

Purpose of the Study:

  • To develop a computationally efficient decoder-side technique for reconstructing lost transform coefficients.
  • To minimize blocking artifacts and enhance visual quality in reconstructed images.

Main Methods:

  • Proposes a method for reconstructing lost transform coefficients using linear interpolation from adjacent blocks.
  • Employs a squared edge error criterion to guide the interpolation process.
  • Leverages spatial correlation between transformed image blocks.

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Main Results:

  • Achieves visually pleasing reconstructions with minimized blocking artifacts.
  • The computational cost is low, less than 1.2 times a non-recursive Discrete Cosine Transform (DCT).
  • Demonstrates effectiveness in scenarios with lost packets due to network congestion or errors.

Conclusions:

  • The proposed technique offers an efficient and effective solution for reconstructing lost image data in block-based transform coded images.
  • Suitable for low-power, low-complexity applications demanding good visual performance.
  • Addresses a key challenge in transmitting images and video over lossy packet networks.