Processing Power Estimation of Encoders for Wireless Capsule Endoscopy

This particular project deals with video capture and compression of Capsule Endoscopy (CE). Most video compression algorithms are of high-complexity with heavy processing, substantial storage and data transfers. It will be a great interest to clarify power consumption in different kinds of operations, which could help in deciding among different compression algorithms. One consideration is whether one has to resort to still image coding of frames (possibly at a decimated frame rate with interpolation at the receiver), or to store frames in the encoder and thus exploit the correlation between frames to reduce the bit rate. Our particular interest in this project would be to decide how to integrate signal capture from the sensor and compression algorithms in order to avoid excessive storage and read/write operations. Furthermore, the compression algorithms must be simple to minimize multiplications and additions. Suggested algorithms comprise 2 Dimensional (2D) Differential Pulse Code Modulation (DPCM) with prediction coefficients and transform coders with simple transforms