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A Low-Power Color Mosaic Image Compressor Based on Optimal Combination of 1-D Discrete Wavelet Packet Transform and DPCM for Wireless Capsule Endoscopy

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 core area of 0.342 mm×0.342 mm. It consumes 
 
48.4 I¼W 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.