Low-complexity colour-space for capsule endoscopy image compression
ABSTRACT A novel and low-complexity colour-space for the compression of wireless capsule endoscopy (WCE) images is presented. The colour-space is developed by analysing the unique features of endoscopic images. Compared with existing standard colour-spaces, the proposed colour-space shows better performance for WCE image compression.
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ABSTRACT: The interest of physiological data sensing and recording using wireless body sensor network has increased in recent years due to the advancement of miniature and portable electronic devices. In this study, the design of a portable and rechargeable data logger with high data rate multiple wireless connectivity (Bluetooth and 2.4-GHz radio frequency) is discussed. The data are logged in micro secure digital (SD) cards and can be transferred to PC or Smartphone using SD card reader, USB interface, or Bluetooth wireless link. Analog signals can also be logged through an 8-channel analog-to-digital interface. A graphical LCD with touch screen is added for control and diagnosis. The hardware is generic and targeted for various medical imaging and data collection applications. The functionality of the prototype is later tested for wireless capsule endoscopy and skin temperature logging application.EURASIP Journal on Embedded Systems 01/2012; 2012(1). DOI:10.1186/1687-3963-2012-10
Conference Paper: Efficient color space-based compression scheme for endoscopic images[Show abstract] [Hide abstract]
ABSTRACT: A discrete-cosine-transform (DCT) based image compression scheme is presented in this paper that works on a novel and low-complexity color-space designed for wireless capsule endoscopy application. The color-space, referred as YEF, is developed by analyzing the unique features of endoscopic images. A hardware friendly quantization stage is also used here to achieve higher compression. Comparing with the existing works towards endoscopic image compression, the proposed compression scheme outperforms with the average compression ratio of 83.51% and peak-signal-to-noise-ratio of 54.86 dB.Information Science, Signal Processing and their Applications (ISSPA), 2012 11th International Conference on; 01/2012
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ABSTRACT: Proposed is a two-stage image compression method for wireless capsule endoscopy images to provide high compression rate and high image quality. The first stage, implemented inside the wireless capsule, contains a very low complexity integer transform followed by an optimised quantisation and Huffman encoding. The second stage is a simple post-processing for high subjective visual quality of the reconstructed image, which is applied outside the capsule. The compression method can provide not only high compression rate (86%) and high image quality (39.2%dB), but also low computation complexity.Electronics Letters 12/2012; 48(25):1588-1589. DOI:10.1049/el.2012.3470 · 1.07 Impact Factor