Title :
A CMOS image sensor with low-complexity video compression for wireless sensor networks
Author :
Chefi, Ahmed ; Soudani, Adel ; Sicard, Gilles
Author_Institution :
Electron. & Microelectron. Lab., Sci. Fac. of Monastir, Monastir, Tunisia
Abstract :
The aim of this paper is to present and evaluate a smart image sensor integrating an efficient video compression scheme designed to respect the energy constraints of image processing and transmission over WSNs (Wireless Sensor Networks). The interest of our single chip solution is twofold: first, compression settings can be changed at run time depending on video characteristics; second, compression is applied only on blocks that change significantly over time. The compressed blocks will be transmitted over the vision-based sensor network. This paper presents in details the hardware architecture of the proposed system and describes its performances, with relevant comparisons to some related works.
Keywords :
CMOS integrated circuits; data compression; image sensors; video coding; wireless sensor networks; CMOS image sensor; WSN; energy constraints; hardware architecture; image processing; image transmission; low-complexity video compression; smart image sensor; video characteristics; vision based sensor network; wireless sensor networks; CMOS image sensors; CMOS integrated circuits; Encoding; Hardware; Image coding; Video compression; Wireless sensor networks; CMOS Image Sensors; WSNs; low power; video compression;
Conference_Titel :
New Circuits and Systems Conference (NEWCAS), 2013 IEEE 11th International
Conference_Location :
Paris
Print_ISBN :
978-1-4799-0618-5
DOI :
10.1109/NEWCAS.2013.6573591
