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Efficient data encoder for low-power capsule endoscopy application

Efficient data encoder for low-power capsule endoscopy appli...

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International Conference on Information Science, Signal processing and Their Applications

作者： Tajallipour, Ramin Wahid, Khan Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan SK Canada

ISBN: (纸本)9781424471676

The paper presents an efficient data encoder based on Lempel-Ziv-Welch (LZW) algorithm to be used in a lowpower capsule endoscopic system. The encoder is library-based where the size of the library can be set by the user, and hence, the output data rate can be controlled according to the bandwidth requirement. The simulation is carried out with several endoscopic images and the results show that a minimum overall compression ratio of 92.8% can be achieved with a minimum reconstruction quality of 30dB. The energy consumption has been estimated to be 75uJ/frame. Several other encoding algorithms have been studied and the comparative results are discussed. © 2010 IEEE.

关键词： Energy utilization

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Efficient data encoder for low-power capsule endoscopy application

Efficient data encoder for low-power capsule endoscopy appli...

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： Ramin Tajallipour Khan Wahid Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan SAS Canada

The paper presents an efficient data encoder based on Lempel-Ziv-Welch (LZW) algorithm to be used in a low-power capsule endoscopic system. The encoder is library-based where the size of the library can be set by the user, and hence, the output data rate can be controlled according to the bandwidth requirement. The simulation is carried out with several endoscopic images and the results show that a minimum overall compression ratio of 92.8% can be achieved with a minimum reconstruction quality of 30dB. The energy consumption has been estimated to be 75uJ/frame. Several other encoding algorithms have been studied and the comparative results are discussed.

关键词： Dictionaries Chromium Image resolution Discrete cosine transforms multimedia communication Impedance matching Encoding

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Hybrid DWT-DCT algorithm for biomedical image and video compression applications

Hybrid DWT-DCT algorithm for biomedical image and video comp...

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International Symposium on Signal processing and Its Applications (ISSPA)

作者： Suchitra Shrestha Khan Wahid Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan SAS Canada

Digital image and video in their raw form require an enormous amount of storage capacity. Considering the important role played by digital imaging and video in medical and health science, it is necessary to develop a system that produces high degree of compression while preserving critical image/video information. In this paper, we present a hybrid algorithm that performs the discrete cosine transform on the discrete wavelet transform coefficients. Simulation has been carried out on several medical and endoscopic images and videos. The results show that the proposed hybrid algorithm performs much better in term of peak-signal-to-noise-ratio with a higher compression ratio compared to standalone DCT and DWT algorithms. The scheme is intended to be used as the image/video compressor engine in medical imaging and video applications, such as, telemedicine and wireless capsule endoscopy.

关键词： Image resolution Larynx Biomedical imaging Quantization Discrete wavelet transforms Computed tomography

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Efficient implementation of adaptive LZW algorithm for medical image compression

Efficient implementation of adaptive LZW algorithm for medic...

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International Conference on Computer and Information Technology (ICCIT)

作者： R. Tajallipour Khan Wahid Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan Saskatoon SAS Canada

The paper presents an efficient adaptive Lempel-Ziv-Welch (LZW) data compression algorithm for medical image compression applications. The encoder is based on custom-sized library and custom-valued threshold where both the size of the library and the threshold parameters are adjusted by the user. The algorithm is compared with other existing compression schemes applicable to medical imaging. Because of the adaptive nature, the output of encoder can be controlled as per the bandwidth requirement of the data transmission and storage capacity. The simulation is carried out on several medical and endoscopic images and the results show that a compression ratio of 94% can be achieved with a reconstruction quality of 40 dB. The estimated energy consumption is 21.6mJ for a 256×256 color image with a frame rate of 2fps.

关键词： Biomedical imaging

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An efficient YCgCo-based image compression algorithm for capsule endoscopy

An efficient YCgCo-based image compression algorithm for cap...

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International Conference on Computer and Information Technology (ICCIT)

作者： Atahar Mostafa Khan Wahid Seok-Bum Ko Multimedia Processing and Prototyping Laboratory Department of Electrical and Computer Engineering University of Saskatchewan Saskatoon SAS Canada

An efficient YCgCo color space based image compression algorithm for the capsule endoscopy application is presented in this paper. The algorithm is developed taking the advantage of the special characteristics of the endoscopic images and the energy compaction capabilities of the YCgCo color plane. The compression scheme provides high reconstruction image quality (PSNR of over 52dB) and competitive compression ratio (over 80%). The algorithm uses integer-based forward transform followed by a simple implementation-friendly quantization stage that requires less hardware cost, and thus is suitable for power limited wireless capsule endoscope systems.

关键词： Hardware Colon Discrete cosine transforms Biomedical imaging Encoding Image segmentation Image coding

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