ABSTRACT
When designing coding algorithms for the wireless endoscope, achieving good performance with very low complexity is of great importance. This is due to the fact that hardware implementation is much constrained by the small size of the endoscope capsule and available power is also very limited. In this paper, we propose a very low complexity image coder for the wireless endoscope which operates within these constraints, with special emphasis on low bit rate performance. The scheme encodes the captured images frame-by-frame using simple DPCM (Differential Pulse Coded Modulation) coding, combined with multi-rate processing, dead-zone quantization and efficient run-length coding of the quantization indices. Simulation results show that proposed coder is able to meet our objectives.
- D. Turgis and R. Puers, "Image compression in video radio transmission for capsule endoscopy," Elsevier J. of Sensors and Actuators, pg129--136, 2005.Google ScholarCross Ref
- M. J.Tsai, J. D. Villasenor and F. Chen,"Stack-run Image Coding," IEEE Trans. on Circ. and Sys. for Video Techn., vol. 6, nr. 5, pg 519--521, Oct. 1996. Google ScholarDigital Library
- C. Pépin, P. Raffy, and R. M. Gray, "Robust Stack-Run Coding for Low Bit-Rate Image Transmission Over Noisy Channels," IEEE Signal Processing Lett., vol.9, nr. 7, pg196--199, Jul, 2002.Google ScholarCross Ref
- I. El-Rube, H. Fayed, S. E. El-Nahas, "Medical Endoscopic Image Coding: A Comparative Study", Canadian J. on Image Proc. and Comp. Vision vol. 1, nr.2, Apr. 2010.Google Scholar
- N. S. Jayant and P. Noll, "Digital coding of waveforms-principles and applications to speech and video", Prentice Hall, Eaglewood Cliffs, New Jersey, USA, 1984. Google ScholarDigital Library
- M-C. Lin, L-R. and Dung P-K. Weng, "An ultra-low-power image compressor for capsule endoscope", BioMed. Eng. Online vol.5, nr. 14, 2006.Google Scholar
- J. Li and Y. Deng,"Fast compression algorithms for capsule endoscope images", Proce. of CISP, 2009.Google ScholarCross Ref
- A. Khaleghi, R. Chávez-Santiago, and I. Balasingham, "Ultra-wideband pulse-based data communications for medical implants", IET Journal on Communications, vol. 4, nr.15, pg 1889--1897, 2010.Google ScholarCross Ref
- D. A. Clunie, "Lossless compression of grayscale medical images: effectiveness of traditional and state of the art approaches", Proc. SPIE 3980, pg74--84, May 2000.Google Scholar
- G. Sullivan, "Efficient Scalar quantization of exponential and Laplacian Random variables", IEEE Trans. Inform. Theory, vol. 42, nr. 5, pg.1365--1374, Sep. 1996. Google ScholarDigital Library
- J. Ziv and A. Lempel, "A universal algorithm for sequential data compression," IEEE Trans. on Inform. Theory, vol. 23, no. 3, pg 337--343, 1977.Google ScholarDigital Library
- H. Gish and J. N. Pierce, "Asymptotically efficient quantizing", IEEE Trans. Inform. Theory, vol. 14, pg 676--683, Sep. 1968.Google ScholarDigital Library
- Anna N. Kim and Tor A. Ramstad, "Practical low bit rate predicive image coder using multi-rate processing and adaptive entropy coding, Proce. of ICIP, 2004.Google Scholar
Index Terms
- Very low complexity low rate image coding for the wireless endoscope
Recommendations
Low-complexity and low-memory entropy coder for image compression
A low-complexity and low-memory entropy coder (LLEC) is proposed for image compression. The two key elements in the LLEC are zerotree coding and Golomb-Rice (1966, 1991) codes. Zerotree coding exploits the zerotree structure of transformed coefficients ...
Lossless video coding based on pixel-wise prediction
The state-of-the-art H.264/AVC was designed for lossy video coding in the beginning. Recently, the H.264/AVC FRExt was developed by removing transformation and quantization for lossless coding. In this paper, we propose an efficient intra lossless ...
On the Operational Rate-Distortion Performance of Uniform Scalar Quantization-Based Wyner–Ziv Coding of Laplace–Markov Sources
Wyner-Ziv (WZ) coding has recently been proposed as a low encoding complexity alternative to traditional DPCM coding for compression of sources with memory, in particular, in applications like multimedia compression. The viability of this alternative ...
Comments