DocumentCode :
3641495
Title :
Low complexity image coding algorithm for capsule endoscopy with Bayer color filter array
Author :
Paweł Turcza;Tomasz Zieliński;Mariusz Duplaga
Author_Institution :
Department of Instrumentation and Measurement, AGH University of Science and Technology, Krakó
fYear :
2007
Firstpage :
27
Lastpage :
32
Abstract :
The paper describes image compression algorithm suitable for wireless capsule endoscopy with Bayer color filter array (CFA). Due to power limitation, small size conditions and specific image data format, traditional image compression techniques are not appropriate and dedicated ones are necessary. The proposed algorithm is based on integer version of discrete cosine transform (DCT) and wavelet transform (DWT) and Huffman entropy coder. Thanks to integer DCT/DWT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.
Keywords :
"Discrete wavelet transforms","Filtering","Wires","Discrete cosine transforms","Image color analysis","Wireless communication"
Publisher :
ieee
Conference_Titel :
Signal Processing Algorithms, Architectures, Arrangements and Applications, 2007
Print_ISBN :
978-1-4244-1514-4
Type :
conf
DOI :
10.1109/SPA.2007.5903295
Filename :
5903295
Link To Document :
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