Hardware implementation aspects of new low complexity image coding algorithm for wireless capsule endoscopy

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Abstract

The paper presents hardware implementation aspects of new efficient image compression algorithm designed for wireless capsule endoscopy with Bayer color filter array (CFA). Since power limitation, small size conditions and specific image data format (CFA) exclude application of traditional image compression techniques dedicated ones are necessary. Discussed algorithm is based on integer version of discrete cosine transform (DCT). Therefore it has low complexity and power consumption. It is demonstrated that the perfor-mance of proposed algorithm is comparable to the performance of JPEG2000 - very complex, sophisticated wavelet based coder. In the paper a VLSI coder architecture is proposed and power requirements are discussed. © 2008 Springer-Verlag Berlin Heidelberg.

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Turcza, P., Zieliński, T., & Duplaga, M. (2008). Hardware implementation aspects of new low complexity image coding algorithm for wireless capsule endoscopy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5101 LNCS, pp. 476–485). https://doi.org/10.1007/978-3-540-69384-0_53

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