• Harshada Daphal
• Prof. Meenakshi A.

The wavelet transform is an emerging signal processing technique that can be used to represent real-life non-stationary signals with high efficiency. Indeed, the wavelet transform is gaining momentum to become an alternative tool to traditional time-frequency representation techniques such as the discrete The lack of disk space seems to be a major challenge during transmission and storage of raw images, which in turn pushes the demand for an efficient technique for compression of images. Although, lot of compression techniques are available today, any upcoming technique which is faster, memory efficient and simple surely has the greatest probability to hit the user requirements. In this paper, we have developed wavelet-based image compression algorithm using well-known Distributed Arithmetic (DA) technique.

DA, FPGA, Discrete Wavelet Transform, Image Compression.

"FPGA Implementation of Discrete Wavelet Transform using Distributed Arithmetic Architecture For Image Compression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.203-207, June 2019, Available :http://www.jetir.org/papers/JETIR1906X62.pdf

"FPGA Implementation of Discrete Wavelet Transform using Distributed Arithmetic Architecture For Image Compression", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp203-207, June 2019, Available at : http://www.jetir.org/papers/JETIR1906X62.pdf