Blockiness detection in compressed data

G. A. Triantafyllidis*, D. Tzovaras, M. G. Strintzis

*Corresponding author for this work

Research output: Contribution to journalConference article in JournalResearchpeer-review

4 Citations (Scopus)

Abstract

A novel frequency domain technique for image blocking artifact detection is presented in this paper. The algorithm detects the regions of the image which present visible blocking artifacts. This detection is performed in the frequency domain and uses the estimated relative quantization error calculated when the DCT coefficients are modeled by a Laplacian probability function. Experimental results illustrating the performance of the proposed method are presented and evaluated.

Original languageEnglish
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume3
Pages (from-to)1533-1536
Number of pages4
ISSN1520-6149
Publication statusPublished - 2001
Event2001 IEEE International Conference on Acoustics, Speech, and Signal Processing - Salt Lake, UT, United States
Duration: 7 May 200111 May 2001

Conference

Conference2001 IEEE International Conference on Acoustics, Speech, and Signal Processing
Country/TerritoryUnited States
CitySalt Lake, UT
Period07/05/200111/05/2001
SponsorIEEE

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