Blockiness detection in compressed data

Author

Triantafyllidis, George A ; Tzovaras, D. ; Strintzis, M.G.

Author_Institution

Informatics & Telematics Inst., Thessaloniki, Greece

Volume

3

fYear

2001

fDate

2001

Firstpage

1533

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

Keywords

data compression; discrete cosine transforms; frequency-domain analysis; image coding; probability; quantisation (signal); transform coding; DCT coefficients; Laplacian probability function; blockiness detection; compressed data; frequency domain technique; image blocking artifact detection; image region detection; quantization error; Decoding; Discrete cosine transforms; Frequency domain analysis; Frequency estimation; Image coding; Image reconstruction; Informatics; Laplace equations; Pixel; Quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.941224

Filename

941224