DWT based Low Power Image Compressor for Wireless Capsule Endoscopy

Kushaagra Goyal, Abhishek Lal, Basabi Bhaumik
2017 Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies  
In WCE literature so far, the stress is on having an image compressor with low power consumption and silicon area. However one needs to consider the image compressor along with the serialiser, the interface between image compressor and transmitter as a single unit. In this paper, we propose the design of a hardware efficient, low power image compression system along with the serialiser for wireless capsule endoscopy. It is based on integer version of discrete wavelet transform and uses low
more » ... exity encoders like adaptive Golomb-Rice encoder. An alternative architecture for serialiser is proposed specific to the algorithm which runs at only 8 times instead of 32 times the frequency required at the existing compressors in the literature. The proposed algorithm gives a compression of 91.88 percent at a PSNR of 38.17. The implementation of the compressor plus serialiser in 130nm HS (high speed) standard CMOS process technology consumes 16.9uW of power at 2 frames per second for 256×256 image. Compared to the existing designs at similar power consumption, the proposed scheme reduces the serialiser's frequency by a factor of four besides giving at least 1.5 % higher compression.
doi:10.5220/0006103000170024 dblp:conf/biostec/GoyalLB17 fatcat:f4bplujzhjcbrna2yjqvszn2bq