Title :
Ultra low complexity video codec for endoscopic video capsules
Author :
Brondani, Daniel
Author_Institution :
Dipt. di Ing. Elettr., Gestionale e Meccanica, Univ. degli Studi di Udine, Udine, Italy
Abstract :
In recent years endoscopic video capsules started to be widely employed by gastroenterologists for diagnosis of gastrointestinal pathologies. Even if the current video capsules can provide a good assistance for diagnosis tasks, especially on the small bowel´s examination, the necessity of performance´s improvement is evident. In order to increase frame rate and reduce energy consumption, a possible solution is the image´s compression. A number of freely available lossless and lossy codec libraries were evaluated regarding objective criteria as peak signal-to-noise ratio and software´s running times, providing a good estimation about image´s quality, algorithm´s complexity and energy consumption when computing medical images. Based on characteristics of the video sequences not exploited by the current implementations, an ultra low complexity video codec is proposed. The assessment of energy consumption confirmed this new video codec as a valid ultra low power technique.
Keywords :
computational complexity; endoscopes; image coding; image sequences; medical image processing; video codecs; video signal processing; algorithm complexity; endoscopic video capsules; energy consumption; frame rate; gastroenterologists; gastrointestinal pathology diagnosis; image compression; image quality; lossless codec library; lossy codec library; medical images; objective criteria; peak signal-to-noise ratio; performance improvement; small bowel examination; software running times; ultra low complexity video codec; ultra low power technique; video sequences; Complexity theory; Correlation; Energy consumption; Image coding; PSNR; Video codecs; endoscopy; low complexity; low power; video capsule; video codec;
Conference_Titel :
Information Systems and Technologies (CISTI), 2012 7th Iberian Conference on
Conference_Location :
Madrid
Print_ISBN :
978-1-4673-2843-2