• Pankaj Mahadev Masley
• Dr S. S. Mungona

The concept of the compression of images is of great important these days as the images requires a large amount of storage space, a larger transmission bandwidth and longer transmission time. An image is represented as a two dimensional array of coefficients. The DWT has the two properties of no blocking effect and perfect reconstruction of the analysis and the synthesis wavelets. The discrete wavelet transform (DWT) has recently received considerable attention in the context of image compression due to its flexibility in representing non stationary image signals and its ability in adapting to human visual characteristics. It is easy to implement and reduces the computation time and resources required. DWT is a suitable tool for extraction image features because it allows the analysis of image on various levels of resolution. The attractive features of DWT in image coding have conducted to significant interest in efficient algorithms for its hardware implementation. SPIHT based image Compression is a fast and efficient technique for compression. VHDL is a programming language that has been designed and optimized for describing the behavior of digital systems. In this paper we used DWT with SPIHT technique to perform the transform of a test image and the results have been discussed and analyzed. This DWT-based image processing system is developed in VHDL by using Xilinx ISE14.7 tool. Haar wavelet is used to develop the filters.

Hardware description language (HDL), DWT, SPIHT, Haar wavelet, VHDL, Xilinx

"IMAGE COMPRESSION USING WAVELET TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.875-880, June 2019, Available :http://www.jetir.org/papers/JETIR1906G34.pdf

"IMAGE COMPRESSION USING WAVELET TRANSFORM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp875-880, June 2019, Available at : http://www.jetir.org/papers/JETIR1906G34.pdf