Abstract:
Distributed video coding (DVC) is a new compression paradigm that enables less complex,
robust and less latency encoding for some applications. Traditional video coding contains an
encoder 5 to 10 times more complex than the decoder and requires more energy and hardware
resources for coding. However, distributed coding is a candidate for wireless applications that
contain limited energy sources. The wireless capsule endoscopy is a medical tool introduced
in 2000 and used by doctors in the diagnosis of gastrointestinal diseases. This tool cannot
visualize the completely gastrointestinal system because the battery life is limited. One of the
proposed solutions is to use a simple and efficient compression system to reduce the number
of bits transmitted by the antenna that consume the most energy from the battery. In this thesis,
we propose new distributed video coding systems simple, efficient and applicable for the
images of the capsule endoscopy. The proposed DVC systems are a low complexity because
uses a single type of frame compared to traditional DVC systems that use two types of frames.
Both proposed DVC systems use the database to generate the side information (SI) that used
to decode the source frame. The selection made in the database using the coefficients DC in
the first contribution and the subsample image in the second. For the third contribution, the
codec uses the vector quantization to generate the side information (SI). Several algorithms are
implemented in the proposed systems to improve compression efficiency. The results obtained
are significant and prove the ideas proposed by comparing them with the Motion JPEG codec
already used in the endoscopic capsule.
