DocumentCode :
2620863
Title :
Efficient data encoder for low-power capsule endoscopy application
Author :
Tajallipour, Ramin ; Wahid, Khan
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Saskatchewan, Saskatoon, SK, Canada
fYear :
2010
fDate :
10-13 May 2010
Firstpage :
512
Lastpage :
515
Abstract :
The paper presents an efficient data encoder based on Lempel-Ziv-Welch (LZW) algorithm to be used in a low-power capsule endoscopic system. The encoder is library-based where the size of the library can be set by the user, and hence, the output data rate can be controlled according to the bandwidth requirement. The simulation is carried out with several endoscopic images and the results show that a minimum overall compression ratio of 92.8% can be achieved with a minimum reconstruction quality of 30dB. The energy consumption has been estimated to be 75uJ/frame. Several other encoding algorithms have been studied and the comparative results are discussed.
Keywords :
data compression; endoscopes; image coding; image reconstruction; medical image processing; Lempel-Ziv-Welch algorithm; compression ratio; data encoder; energy consumption; low-power capsule endoscopy; minimum reconstruction quality; output data rate; Chromium; Dictionaries; Discrete cosine transforms; Encoding; Image resolution; Impedance matching; Multimedia communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
Type :
conf
DOI :
10.1109/ISSPA.2010.5605599
Filename :
5605599
Link To Document :
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