DocumentCode :
1749881
Title :
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
Link To Document :
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