Efficient data encoder for low-power capsule endoscopy application

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.