Abstract: Image compression plays a very important role in image processing. Image compression means minimizing the size in bytes, without humiliating the quality of image to an unacceptable level. Image compression allows more images to be stored in a given amount of memory space and reduces the time required for images to be transfer. Discrete wavelet transforms is the most adaptive transformation technique for image compression but its arithmetic operation is so complex. In order to overcome the above problem 2D DWT Distributed Arithmetic (DA) for real time signal processing was used. The design and implementation of medical image compression using an efficient 2D DWT-A using DA based with rapid arithmetic coder is proposed. The architecture consists of efficient 2D DWT-A using DA based which was implemented in previous work. In the proposed method, a rapid arithmetic coder is implementing, the coder is modified with carry select adder using BEC-1 and position control unit. Instead of using leading check detection, a position control unit is implementing. The position control unit is used to reduce the area and power consumption. The overall architecture reduces the arithmetic computation, area utilization and high speed performance.
C. Thirumarai Selvi and R. Sudhakar, 2016. An Efficient 2D DWT-A Distributed Arithmetic with Rapid Arithmetic Coder for Medical Image Compression. Asian Journal of Information Technology, 15: 2371-2382.