access icon openaccess Colour-reproduction algorithm for transmitting variable video frames and its application to capsule endoscopy

Presented is a new power-efficient colour generation algorithm for wireless capsule endoscopy (WCE) application. In WCE, transmitting colour image data from the human intestine through radio frequency (RF) consumes a huge amount of power. The conventional way is to transmit all R, G and B components of all frames. Using the proposed dictionary-based colour generation scheme, instead of sending all R, G and B frames, first one colour frame is sent followed by a series of grey-scale frames. At the receiver end, the colour information is extracted from the colour frame and then added to colourise the grey-scale frames. After a certain number of grey-scale frames, another colour frame is sent followed by the same number of grey-scale frames. This process is repeated until the end of the video sequence to maintain the colour similarity. As a result, over 50% of RF transmission power can be saved using the proposed scheme, which will eventually lead to a battery life extension of the capsule by 4–7 h. The reproduced colour images have been evaluated both statistically and subjectively by professional gastroenterologists. The algorithm is finally implemented using a WCE prototype and the performance is validated using an ex-vivo trial.

Inspec keywords: biomedical optical imaging; endoscopes; medical image processing; image colour analysis; image sequences

Other keywords: dictionary-based colour generation scheme; colour-reproduction algorithm; gastrointestinal diagnosis; video sequence; colour similarity; colour image data transmission; wireless capsule endoscopy; human intestine; grey-scale frames; variable video frame transmission

Subjects: Patient diagnostic methods and instrumentation; Computer vision and image processing techniques; Optical and laser radiation (medical uses); Biology and medical computing; Video signal processing; Optical and laser radiation (biomedical imaging/measurement); Optical, image and video signal processing

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