Transform-domain postprocessing of DCT-coded images

Chung Nan Tien, Hsueh-Ming Hang

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

Data compression algorithms are developed to transmit massive image data under limited channel capacity. When a channel rate is not sufficient to transmit good quality compressed images, a degraded image after compression is reconstructed at the decoder. In this situation, a postprocessor can be used to improve the receiver image quality. Ideally, the objective of postprocessing is to restore the original pictures from the received distorted pictures. However, when the received pictures are heavily distorted, there may not exist enough information to restore the original images. Then, what a postprocessor can do is to reduce the subjective artifact rather than to minimize the differences between the received and the original images. In this paper, we propose two postprocessing techniques, namely, error pattern compensation and inter-block transform coefficient adjustment. Since Discrete Cosine Transform (DCT) coding is widely adopted by the international image transmission standards, our postprocessing schemes are proposed in the DCT domain. When the above schemes are applied to highly distorted images, quite noticeable subjective improvement can be observed.

Original languageEnglish
Pages (from-to)1627-1638
Number of pages12
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2094
DOIs
StatePublished - 22 Oct 1993
EventVisual Communications and Image Processing 1993 - Cambridge, MA, United States
Duration: 7 Nov 19937 Nov 1993

Keywords

  • Quantization
  • Image processing
  • Image quality
  • Error analysis
  • Image compression
  • Image segmentation
  • Algorithm development
  • Image quality standards
  • Receivers
  • Data compression

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