Blocking effect reduction of compressed images using classification-based constrained optimization

Tae Keun Kim, Joon Ki Paik, Chee Sun Won, Yoonsik Choe, Jechang Jeong, Jae Yeal Nam

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

In this paper we propose an adaptive image restoration algorithm using block-based edge-classification for reducing block artifacts in compressed images. In order to efficiently reduce block artifacts, edge direction of each block is classified by using model-fitting criterion, and the constrained least-squares (CLS) filter with corresponding direction is used for restoring the block. The proposed restoration filter is derived based on the observation that the quantization operation in a series of coding processes is a nonlinear and many-to-one mapping operator. Then we propose an approximated version of a constrained optimization technique as a restoration process for removing the nonlinear and space-varying degradation operator. For real-time implementation, the proposed restoration filter can be realized in the form of a truncated FIR filter, which is suitable for postprocessing reconstructed images in digital TV, video conferencing systems, etc.

Original languageEnglish
Pages (from-to)869-877
Number of pages9
JournalSignal Processing: Image Communication
Volume15
Issue number10
DOIs
Publication statusPublished - 2000 Aug 1

Fingerprint

Image classification
Constrained optimization
Restoration
Video conferencing
FIR filters
Image reconstruction
Degradation

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Kim, Tae Keun ; Paik, Joon Ki ; Won, Chee Sun ; Choe, Yoonsik ; Jeong, Jechang ; Nam, Jae Yeal. / Blocking effect reduction of compressed images using classification-based constrained optimization. In: Signal Processing: Image Communication. 2000 ; Vol. 15, No. 10. pp. 869-877.
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Blocking effect reduction of compressed images using classification-based constrained optimization. / Kim, Tae Keun; Paik, Joon Ki; Won, Chee Sun; Choe, Yoonsik; Jeong, Jechang; Nam, Jae Yeal.

In: Signal Processing: Image Communication, Vol. 15, No. 10, 01.08.2000, p. 869-877.

Research output: Contribution to journalArticle

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