Quantity Control for JPEG Image Data Compression Using Fuzzy Logic Algorithm

Quantity Control for JPEG Image Data Compression Using Fuzzy Logic Algorithm

This paper proposes a new method to control the quantity output of JPEG image data compression standard using Fuzzy Logic Algorithm. The performances of the output from the simulation results using 18 test images are as follows, mean -1.5%, the error range are from -3 to 1% and sigma is 1.5%.

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Bibliographische Detailangaben
Hauptverfasser: Supangkat, S.H., MurakamiI, K.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Bit rate
Computational modeling
Computer science
Computer simulation
Data compression
Error correction
Fuzzy logic
Performance evaluation
Testing
Transform coding
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Beschreibung
Zusammenfassung:This paper proposes a new method to control the quantity output of JPEG image data compression standard using Fuzzy Logic Algorithm. The performances of the output from the simulation results using 18 test images are as follows, mean -1.5%, the error range are from -3 to 1% and sigma is 1.5%.
ISSN:0747-668X
DOI:10.1109/ICCE.1994.582203