Low cost image compression algorithm with colour reproduction algorithm for transmitting video frame of capsule endoscopy using low power

Abstract Presented a low cost technique for transmitting data through radio frequency antenna using low power, which is the combination of low computational complexity image compression algorithm and simple colour reproduction algorithm. In wireless capsule endoscopy, radio frequency antenna consume more than 60% of power for transmitting data and transmitting all the RGB components consume more power. In the proposed scheme, the first compressed colour frame is transmitted followed by few number of compressed grey frames. Compression algorithm is made of simplified YUV colour space, differential pulse code modulation and Golomb Rice code. At decoder dictionary based colour reproduction algorithm is used to colorize the grey scale image using colour information of original colour image. The proposed scheme lead to saving of more than 50% power of the battery, which increases the battery life from 10 h to 18 h. This extra battery life can be used for adding extra features to capsule, which help in development of diagnosing and treatment capsules.

[1]  Guillermo Sapiro,et al.  Fast image and video colorization using chrominance blending , 2006, IEEE Transactions on Image Processing.

[2]  Khan A. Wahid,et al.  White and narrow band image compressor based on a new color space for capsule endoscopy , 2014, Signal Process. Image Commun..

[3]  Philippe Olivier Alexandre Navaux,et al.  A topology-aware load balancing algorithm for clustered hierarchical multi-core machines , 2014, Future Gener. Comput. Syst..

[4]  Mariusz Duplaga,et al.  Low power FPGA-based image processing core for wireless capsule endoscopy , 2011 .

[5]  Surender Kumar Soni,et al.  Reduction of Redundant Frames in Active Wireless Capsule Endoscopy , 2019 .

[6]  Khan A. Wahid,et al.  Low Power and Low Complexity Compressor for Video Capsule Endoscopy , 2011, IEEE Transactions on Circuits and Systems for Video Technology.

[7]  Takahiko Horiuchi,et al.  Colorization algorithm for grayscale image by propagating seed pixels , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[8]  Klaus Mueller,et al.  Transferring color to greyscale images , 2002, ACM Trans. Graph..

[9]  Mariusz Duplaga,et al.  Near-lossless energy-efficient image compression algorithm for wireless capsule endoscopy , 2017, Biomed. Signal Process. Control..

[10]  Khan A. Wahid,et al.  Are Current Advances of Compression Algorithms for Capsule Endoscopy Enough? A Technical Review , 2017, IEEE Reviews in Biomedical Engineering.

[11]  Eero P. Simoncelli,et al.  Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.

[12]  Tareq Khan,et al.  Colour-reproduction algorithm for transmitting variable video frames and its application to capsule endoscopy. , 2015, Healthcare technology letters.

[13]  A. Robertson.  Historical development of CIE recommended color difference equations , 1990 .

[14]  Somayeh Timarchi,et al.  Low-power DCT-based compressor for wireless capsule endoscopy , 2017, Signal Process. Image Commun..

[15]  Mariusz Duplaga,et al.  Energy-efficient image compression algorithm for high-frame rate multi-view wireless capsule endoscopy , 2016, Journal of Real-Time Image Processing.

[16]  Surender Kumar Soni,et al.  Low complexity image compression algorithm based on hybrid DPCM for wireless capsule endoscopy , 2019, Biomed. Signal Process. Control..

[17]  Zitouni Abdelkrim,et al.  Low power design of wireless endoscopy compression/communication architecture , 2018 .

[18]  Khan Wahid,et al.  A color reproduction method with image enhancement for endoscopic images , 2014, 2nd Middle East Conference on Biomedical Engineering.

[19]  Khan A. Wahid,et al.  Design of a Lossless Image Compression System for Video Capsule Endoscopy and Its Performance in In-Vivo Trials , 2014, Sensors.

[20]  Khan A. Wahid,et al.  Low-complexity colour-space for capsule endoscopy image compression , 2011 .

[21]  Guozheng Yan,et al.  Design of a video capsule endoscopy system with low-power ASIC for monitoring gastrointestinal tract , 2016, Medical & Biological Engineering & Computing.

[22]  Kinde A. Fante,et al.  Design and Implementation of Computationally Efficient Image Compressor for Wireless Capsule Endoscopy , 2015, Circuits Syst. Signal Process..

[23]  Khan A. Wahid,et al.  Color reproduction and processing algorithm based on real-time mapping for endoscopic images , 2016, SpringerPlus.

[24]  Lan-Rong Dung,et al.  A Subsample-Based Low-Power Image Compressor for Capsule Gastrointestinal Endoscopy , 2011, EURASIP J. Adv. Signal Process..

[25]  P. Dario,et al.  Capsule Endoscopy: From Current Achievements to Open Challenges , 2011, IEEE Reviews in Biomedical Engineering.

[26]  Khan A. Wahid,et al.  Lossless Compression in Bayer Color Filter Array for Capsule Endoscopy , 2017, IEEE Access.

[27]  Khan A. Wahid,et al.  Lossless and Low-Power Image Compressor for Wireless Capsule Endoscopy , 2011, VLSI Design.

[28]  R. Webster,et al.  Swallowable medical devices for diagnosis and surgery: The state of the art , 2010 .

[29]  Mariusz Duplaga,et al.  Hardware-Efficient Low-Power Image Processing System for Wireless Capsule Endoscopy , 2013, IEEE Journal of Biomedical and Health Informatics.

[30]  Zhou Wang,et al.  Image Quality Assessment: From Error Measurement to Structural Similarity , 2004 .

[31]  Dani Lischinski,et al.  Colorization using optimization , 2004, SIGGRAPH 2004.