Design and Implementation of Fast- Lifting Based Wavelet Transform for Image Compression

The digital data can be compressed and retrieved using Discrete Wavelet Transform (DWT) and Inverse Discrete wavelet Transform (IDWT). The medical images need to be compressed and retrieved without loosing of information. The Discrete Wavelet Transform (DWT) is based on time-scale representation which provides efficient multi-resolution. This paper mainly describes the lifting based scheme gives lossless mode of information. The lifting based DWT and IDWT are having lower computational complexity and reduced memory requirement. Conventional convolution based DWT and IDWT are area and power hungry. These drawbacks can be overcome by using the lifting based scheme. This system adopts lifting based scheme DWT and IDWT which gives the lossless information of the data, reduces the complexity and optimized in area and power. In this research the DWT and IDWT are simulated and the design of hardware model is carried out using RTL level coding.