Title :
Low-Power Image Compression for Wireless Capsule Endoscopy
Author :
Turcza, Pawel ; Duplaga, Mariusz
Author_Institution :
AGH Univ. of Sci. and Technol., Krakow
Abstract :
In the paper image compression algorithm suitable for wireless capsule endoscopy is proposed. In general, image compression is the best way to decrease the communication bandwidth and save the transmitting power. However due to power limitation and small size conditions 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 entropy Huffman coder. Thanks to integer DCT application it has low complexity and power consumption. Additionally, the algorithm can provide lossless compression as well as high-quality lossy compression.
Keywords :
data compression; discrete cosine transforms; endoscopes; image coding; medical image processing; DCT; communication bandwidth; discrete cosine transform; entropy Huffman coder; high-quality lossy compression; low-power image compression; power limitation; wireless capsule endoscopy; CMOS image sensors; Chromium; Color; Data processing; Discrete cosine transforms; Endoscopes; Energy consumption; Entropy; Image coding; Wireless sensor networks; Endoscopy; Image compression; Video capsule;
Conference_Titel :
Imaging Systems and Techniques, 2007. IST '07. IEEE International Workshop on
Conference_Location :
Krakow
Print_ISBN :
1-4244-0965-9
Electronic_ISBN :
1-4244-0965-9
DOI :
10.1109/IST.2007.379586
