DWT based Low Power Image Compressor for Wireless Capsule Endoscopy
Abstract: 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 complexity 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 256256
Loading