Authors:
Kinde A. Fante
;
Basabi Bhaumik
and
Shouri Chatterjee
Affiliation:
Indian Institute of Technology Delhi and Hauz Khas, India
Keyword(s):
Wireless Capsule Endoscopy, Discrete Wavelet Packet Transform, Mosaic Image Compressor, Low-power.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Instruments and Devices
;
Low-Power Design
;
Wireless Systems
Abstract:
A novel low-power endoscopic image compressor is designed that occupies small silicon chip area, gives a
high compression rate and maintains acceptable image quality. By utilizing unique properties of human gastrointestinal
tract images, computationally simple and elegant methods are employed. The employed methods
are lifting scheme based two level 1-D discrete wavelet packet transform, uniform quantization, chrominance
component sub-sampling, differential pulse code modulation and Golomb-Rice entropy encoder. All the modules
are highly optimized from computational complexity, efficiency and memory requirement perspectives.
The proposed algorithm requires neither demosaicking nor de-interleaving operations that require large memory
and consume a significant amount of power. The proposed image compression scheme achieves a compression
rate of 81.31 % with peak signal to noise ratio of 39.45 dB. The implementation of the algorithm
in 130 nm standard CMOS process technology occupies a c
ore area of 0.342 mm×0.342 mm. It consumes
48.4 μW of power for encoding two color mosaic frames, with a resolution of 512×512, per second. The
proposed endoscopic image compression scheme gives a power consumption reduction of about two orders
less than the realizations proposed in literature.
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