Blockiness detection in compressed data

Authors:
G. A. Triantafyllidis;D. Tzovaras;M. G. Strintzis
Affiliations:
Informatics & Telematics Inst., Thessaloniki, Greece;-;-
Venue:
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Year:
2001

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Cited 1

Reduction of blocking artifacts in block-based compressed images

ACIVS'05 Proceedings of the 7th international conference on Advanced Concepts for Intelligent Vision Systems

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Abstract

A novel frequency domain technique for image blocking artifact detection is presented. 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.