A New Method of Image Compression using Multi wavelet Technique with MFHWT and ROI in SPIHT
Shipra Gupta1, Chirag Sharma2
1Shipra Gupta, Department of Computer Science and Technology, Lovely Professional University, Phagwara, India.
2Chirag Sharma, Department of Computer Science and Technology, Lovely Professional University, Phagwara, India.
Manuscript received on 12 December 2012 | Revised Manuscript received on 21 December 2012 | Manuscript Published on 30 December 2012 | PP: 26-27 | Volume-2 Issue-1, December 2012 | Retrieval Number: A0363112112 /2012©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In medical field the images produce by the modality is in the form of large file, in order to get the opinion from other doctors images are send using electronic media. As the file of images is very large to send, we require to have compression for images but with compression there is loss of information in the image. To minimize the loss and to increase the quality of image and requires compression is also to be done, wavelet transformation technology plays a vital role. So, in this paper we consider that multi wavelet with Region of Interest (ROI) selecting portion will not only give the quality but also reduce the loss of information from image. And we are going to implement the multi wavelet transformation with Modified Fast Haar Wavelet Transform (MFHWT) in Set Partitioning in Hierarchical Trees algorithm.
Keywords: Medical Image, MFHWT, Multi wavelet, ROI, SPIHT.
Scope of the Article: Wavelet Transform